//===----------------------------------------------------------------------===//
//
// This source file is part of the Soto for AWS open source project
//
// Copyright (c) 2017-2024 the Soto project authors
// Licensed under Apache License v2.0
//
// See LICENSE.txt for license information
// See CONTRIBUTORS.txt for the list of Soto project authors
//
// SPDX-License-Identifier: Apache-2.0
//
//===----------------------------------------------------------------------===//

// THIS FILE IS AUTOMATICALLY GENERATED by https://github.com/soto-project/soto-codegenerator.
// DO NOT EDIT.

#if canImport(FoundationEssentials)
import FoundationEssentials
#else
import Foundation
#endif
@_spi(SotoInternal) import SotoCore

extension Transcribe {
    // MARK: Enums

    public enum BaseModelName: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case narrowBand = "NarrowBand"
        case wideBand = "WideBand"
        public var description: String { return self.rawValue }
    }

    public enum CLMLanguageCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case deDe = "de-DE"
        case enAu = "en-AU"
        case enGb = "en-GB"
        case enUs = "en-US"
        case esUs = "es-US"
        case hiIn = "hi-IN"
        case jaJp = "ja-JP"
        public var description: String { return self.rawValue }
    }

    public enum CallAnalyticsFeature: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case generativeSummarization = "GENERATIVE_SUMMARIZATION"
        public var description: String { return self.rawValue }
    }

    public enum CallAnalyticsJobStatus: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case completed = "COMPLETED"
        case failed = "FAILED"
        case inProgress = "IN_PROGRESS"
        case queued = "QUEUED"
        public var description: String { return self.rawValue }
    }

    public enum CallAnalyticsSkippedReasonCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case failedSafetyGuidelines = "FAILED_SAFETY_GUIDELINES"
        case insufficientConversationContent = "INSUFFICIENT_CONVERSATION_CONTENT"
        public var description: String { return self.rawValue }
    }

    public enum InputType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case postCall = "POST_CALL"
        case realTime = "REAL_TIME"
        public var description: String { return self.rawValue }
    }

    public enum LanguageCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case abGe = "ab-GE"
        case afZa = "af-ZA"
        case arAe = "ar-AE"
        case arSa = "ar-SA"
        case astEs = "ast-ES"
        case azAz = "az-AZ"
        case baRu = "ba-RU"
        case beBy = "be-BY"
        case bgBg = "bg-BG"
        case bnIn = "bn-IN"
        case bsBa = "bs-BA"
        case caEs = "ca-ES"
        case ckbIq = "ckb-IQ"
        case ckbIr = "ckb-IR"
        case csCz = "cs-CZ"
        case cyWl = "cy-WL"
        case daDk = "da-DK"
        case deCh = "de-CH"
        case deDe = "de-DE"
        case elGr = "el-GR"
        case enAb = "en-AB"
        case enAu = "en-AU"
        case enGb = "en-GB"
        case enIe = "en-IE"
        case enIn = "en-IN"
        case enNz = "en-NZ"
        case enUs = "en-US"
        case enWl = "en-WL"
        case enZa = "en-ZA"
        case esEs = "es-ES"
        case esUs = "es-US"
        case etEe = "et-EE"
        case etEt = "et-ET"
        case euEs = "eu-ES"
        case faIr = "fa-IR"
        case fiFi = "fi-FI"
        case frCa = "fr-CA"
        case frFr = "fr-FR"
        case glEs = "gl-ES"
        case guIn = "gu-IN"
        case haNg = "ha-NG"
        case heIl = "he-IL"
        case hiIn = "hi-IN"
        case hrHr = "hr-HR"
        case huHu = "hu-HU"
        case hyAm = "hy-AM"
        case idId = "id-ID"
        case isIs = "is-IS"
        case itIt = "it-IT"
        case jaJp = "ja-JP"
        case kaGe = "ka-GE"
        case kabDz = "kab-DZ"
        case kkKz = "kk-KZ"
        case knIn = "kn-IN"
        case koKr = "ko-KR"
        case kyKg = "ky-KG"
        case lgIn = "lg-IN"
        case ltLt = "lt-LT"
        case lvLv = "lv-LV"
        case mhrRu = "mhr-RU"
        case miNz = "mi-NZ"
        case mkMk = "mk-MK"
        case mlIn = "ml-IN"
        case mnMn = "mn-MN"
        case mrIn = "mr-IN"
        case msMy = "ms-MY"
        case mtMt = "mt-MT"
        case nlNl = "nl-NL"
        case noNo = "no-NO"
        case orIn = "or-IN"
        case paIn = "pa-IN"
        case plPl = "pl-PL"
        case psAf = "ps-AF"
        case ptBr = "pt-BR"
        case ptPt = "pt-PT"
        case roRo = "ro-RO"
        case ruRu = "ru-RU"
        case rwRw = "rw-RW"
        case siLk = "si-LK"
        case skSk = "sk-SK"
        case slSi = "sl-SI"
        case soSo = "so-SO"
        case srRs = "sr-RS"
        case suId = "su-ID"
        case svSe = "sv-SE"
        case swBi = "sw-BI"
        case swKe = "sw-KE"
        case swRw = "sw-RW"
        case swTz = "sw-TZ"
        case swUg = "sw-UG"
        case taIn = "ta-IN"
        case teIn = "te-IN"
        case thTh = "th-TH"
        case tlPh = "tl-PH"
        case trTr = "tr-TR"
        case ttRu = "tt-RU"
        case ugCn = "ug-CN"
        case ukUa = "uk-UA"
        case uzUz = "uz-UZ"
        case viVn = "vi-VN"
        case woSn = "wo-SN"
        case zhCn = "zh-CN"
        case zhHk = "zh-HK"
        case zhTw = "zh-TW"
        case zuZa = "zu-ZA"
        public var description: String { return self.rawValue }
    }

    public enum MediaFormat: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case amr = "amr"
        case flac = "flac"
        case m4a = "m4a"
        case mp3 = "mp3"
        case mp4 = "mp4"
        case ogg = "ogg"
        case wav = "wav"
        case webm = "webm"
        public var description: String { return self.rawValue }
    }

    public enum MedicalContentIdentificationType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case phi = "PHI"
        public var description: String { return self.rawValue }
    }

    public enum MedicalScribeJobStatus: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case completed = "COMPLETED"
        case failed = "FAILED"
        case inProgress = "IN_PROGRESS"
        case queued = "QUEUED"
        public var description: String { return self.rawValue }
    }

    public enum MedicalScribeLanguageCode: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case enUs = "en-US"
        public var description: String { return self.rawValue }
    }

    public enum MedicalScribeNoteTemplate: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case behavioralSoap = "BEHAVIORAL_SOAP"
        case birp = "BIRP"
        case dap = "DAP"
        case girpp = "GIRPP"
        case historyAndPhysical = "HISTORY_AND_PHYSICAL"
        case physicalSoap = "PHYSICAL_SOAP"
        case sirp = "SIRP"
        public var description: String { return self.rawValue }
    }

    public enum MedicalScribeParticipantRole: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case clinician = "CLINICIAN"
        case patient = "PATIENT"
        public var description: String { return self.rawValue }
    }

    public enum ModelStatus: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case completed = "COMPLETED"
        case failed = "FAILED"
        case inProgress = "IN_PROGRESS"
        public var description: String { return self.rawValue }
    }

    public enum OutputLocationType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case customerBucket = "CUSTOMER_BUCKET"
        case serviceBucket = "SERVICE_BUCKET"
        public var description: String { return self.rawValue }
    }

    public enum ParticipantRole: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case agent = "AGENT"
        case customer = "CUSTOMER"
        public var description: String { return self.rawValue }
    }

    public enum PiiEntityType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case address = "ADDRESS"
        case all = "ALL"
        case bankAccountNumber = "BANK_ACCOUNT_NUMBER"
        case bankRouting = "BANK_ROUTING"
        case creditDebitCvv = "CREDIT_DEBIT_CVV"
        case creditDebitExpiry = "CREDIT_DEBIT_EXPIRY"
        case creditDebitNumber = "CREDIT_DEBIT_NUMBER"
        case email = "EMAIL"
        case name = "NAME"
        case phone = "PHONE"
        case pin = "PIN"
        case ssn = "SSN"
        public var description: String { return self.rawValue }
    }

    public enum Pronouns: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case heHim = "HE_HIM"
        case sheHer = "SHE_HER"
        case theyThem = "THEY_THEM"
        public var description: String { return self.rawValue }
    }

    public enum RedactionOutput: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case redacted = "redacted"
        case redactedAndUnredacted = "redacted_and_unredacted"
        public var description: String { return self.rawValue }
    }

    public enum RedactionType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case pii = "PII"
        public var description: String { return self.rawValue }
    }

    public enum SentimentValue: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case mixed = "MIXED"
        case negative = "NEGATIVE"
        case neutral = "NEUTRAL"
        case positive = "POSITIVE"
        public var description: String { return self.rawValue }
    }

    public enum Specialty: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case primarycare = "PRIMARYCARE"
        public var description: String { return self.rawValue }
    }

    public enum SubtitleFormat: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case srt = "srt"
        case vtt = "vtt"
        public var description: String { return self.rawValue }
    }

    public enum ToxicityCategory: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case all = "ALL"
        public var description: String { return self.rawValue }
    }

    public enum TranscriptFilterType: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case exact = "EXACT"
        public var description: String { return self.rawValue }
    }

    public enum TranscriptionJobStatus: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case completed = "COMPLETED"
        case failed = "FAILED"
        case inProgress = "IN_PROGRESS"
        case queued = "QUEUED"
        public var description: String { return self.rawValue }
    }

    public enum VocabularyFilterMethod: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case mask = "mask"
        case remove = "remove"
        case tag = "tag"
        public var description: String { return self.rawValue }
    }

    public enum VocabularyState: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case failed = "FAILED"
        case pending = "PENDING"
        case ready = "READY"
        public var description: String { return self.rawValue }
    }

    public enum `Type`: String, CustomStringConvertible, Codable, Sendable, CodingKeyRepresentable {
        case conversation = "CONVERSATION"
        case dictation = "DICTATION"
        public var description: String { return self.rawValue }
    }

    public enum Rule: AWSEncodableShape & AWSDecodableShape, Sendable {
        /// Flag the presence or absence of interruptions in your Call Analytics transcription output. Refer to  for more detail.
        case interruptionFilter(InterruptionFilter)
        /// Flag the presence or absence of periods of silence in your Call Analytics transcription output. Refer to  for more detail.
        case nonTalkTimeFilter(NonTalkTimeFilter)
        /// Flag the presence or absence of specific sentiments in your Call Analytics transcription output. Refer to  for more detail.
        case sentimentFilter(SentimentFilter)
        /// Flag the presence or absence of specific words or phrases in your Call Analytics transcription output. Refer to  for more detail.
        case transcriptFilter(TranscriptFilter)

        public init(from decoder: Decoder) throws {
            let container = try decoder.container(keyedBy: CodingKeys.self)
            guard container.allKeys.count == 1, let key = container.allKeys.first else {
                let context = DecodingError.Context(
                    codingPath: container.codingPath,
                    debugDescription: "Expected exactly one key, but got \(container.allKeys.count)"
                )
                throw DecodingError.dataCorrupted(context)
            }
            switch key {
            case .interruptionFilter:
                let value = try container.decode(InterruptionFilter.self, forKey: .interruptionFilter)
                self = .interruptionFilter(value)
            case .nonTalkTimeFilter:
                let value = try container.decode(NonTalkTimeFilter.self, forKey: .nonTalkTimeFilter)
                self = .nonTalkTimeFilter(value)
            case .sentimentFilter:
                let value = try container.decode(SentimentFilter.self, forKey: .sentimentFilter)
                self = .sentimentFilter(value)
            case .transcriptFilter:
                let value = try container.decode(TranscriptFilter.self, forKey: .transcriptFilter)
                self = .transcriptFilter(value)
            }
        }

        public func encode(to encoder: Encoder) throws {
            var container = encoder.container(keyedBy: CodingKeys.self)
            switch self {
            case .interruptionFilter(let value):
                try container.encode(value, forKey: .interruptionFilter)
            case .nonTalkTimeFilter(let value):
                try container.encode(value, forKey: .nonTalkTimeFilter)
            case .sentimentFilter(let value):
                try container.encode(value, forKey: .sentimentFilter)
            case .transcriptFilter(let value):
                try container.encode(value, forKey: .transcriptFilter)
            }
        }

        public func validate(name: String) throws {
            switch self {
            case .interruptionFilter(let value):
                try value.validate(name: "\(name).interruptionFilter")
            case .nonTalkTimeFilter(let value):
                try value.validate(name: "\(name).nonTalkTimeFilter")
            case .sentimentFilter(let value):
                try value.validate(name: "\(name).sentimentFilter")
            case .transcriptFilter(let value):
                try value.validate(name: "\(name).transcriptFilter")
            }
        }

        private enum CodingKeys: String, CodingKey {
            case interruptionFilter = "InterruptionFilter"
            case nonTalkTimeFilter = "NonTalkTimeFilter"
            case sentimentFilter = "SentimentFilter"
            case transcriptFilter = "TranscriptFilter"
        }
    }

    // MARK: Shapes

    public struct AbsoluteTimeRange: AWSEncodableShape & AWSDecodableShape {
        /// The time, in milliseconds, when Amazon Transcribe stops searching for the specified criteria in your audio. If you include EndTime in your request, you must also include StartTime.
        public let endTime: Int64?
        /// The time, in milliseconds, from the start of your media file until the specified value.  Amazon Transcribe searches for your specified criteria in this time segment.
        public let first: Int64?
        /// The time, in milliseconds, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
        public let last: Int64?
        /// The time, in milliseconds, when Amazon Transcribe starts searching for the specified criteria in your audio. If you include StartTime in your request, you must also include EndTime.
        public let startTime: Int64?

        @inlinable
        public init(endTime: Int64? = nil, first: Int64? = nil, last: Int64? = nil, startTime: Int64? = nil) {
            self.endTime = endTime
            self.first = first
            self.last = last
            self.startTime = startTime
        }

        public func validate(name: String) throws {
            try self.validate(self.endTime, name: "endTime", parent: name, max: 14400000)
            try self.validate(self.endTime, name: "endTime", parent: name, min: 0)
            try self.validate(self.first, name: "first", parent: name, max: 14400000)
            try self.validate(self.first, name: "first", parent: name, min: 0)
            try self.validate(self.last, name: "last", parent: name, max: 14400000)
            try self.validate(self.last, name: "last", parent: name, min: 0)
            try self.validate(self.startTime, name: "startTime", parent: name, max: 14400000)
            try self.validate(self.startTime, name: "startTime", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case endTime = "EndTime"
            case first = "First"
            case last = "Last"
            case startTime = "StartTime"
        }
    }

    public struct CallAnalyticsJob: AWSDecodableShape {
        /// Provides detailed information about a call analytics job, including information about skipped analytics features.
        public let callAnalyticsJobDetails: CallAnalyticsJobDetails?
        /// The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let callAnalyticsJobName: String?
        /// Provides the status of the specified Call Analytics job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.
        public let callAnalyticsJobStatus: CallAnalyticsJobStatus?
        /// Indicates which speaker is on which channel.
        public let channelDefinitions: [ChannelDefinition]?
        /// The date and time the specified Call Analytics job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// The date and time the specified Call Analytics job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// The Amazon Resource Name (ARN) you included in your request.
        public let dataAccessRoleArn: String?
        /// If CallAnalyticsJobStatus is FAILED, FailureReason contains information about why the Call Analytics job request failed. The FailureReason field contains one of the following values:    Unsupported media format. The media format specified in MediaFormat isn't valid. Refer to refer to the MediaFormat parameter for a list of supported formats.    The media format provided does not match the detected media format. The media format specified in MediaFormat doesn't match the format of the input file. Check the media format of your media file and correct the specified value.    Invalid sample rate for audio file. The sample rate specified in MediaSampleRateHertz isn't valid. The sample rate must be between 8,000 and 48,000 hertz.    The sample rate provided does not match the detected sample rate. The sample rate specified in MediaSampleRateHertz doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.    Invalid file size: file size too large. The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service  quotas.    Invalid number of channels: number of channels too large. Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service  quotas.
        public let failureReason: String?
        /// The confidence score associated with the language identified in your media file. Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
        public let identifiedLanguageScore: Float?
        /// The language code used to create your Call Analytics job. For a list of supported languages and their associated language codes, refer to the Supported languages table. If you do not know the language spoken in your media file, you can omit this field and let Amazon Transcribe automatically identify the language of your media. To improve the accuracy of language identification, you can include several language codes and Amazon Transcribe chooses the closest match for your transcription.
        public let languageCode: LanguageCode?
        /// Provides the Amazon S3 location of the media file you used in your Call Analytics request.
        public let media: Media?
        /// The format of the input media file.
        public let mediaFormat: MediaFormat?
        /// The sample rate, in hertz, of the audio track in your input media file.
        public let mediaSampleRateHertz: Int?
        /// Provides information on any additional settings that were included in your request. Additional settings include content redaction and language identification settings.
        public let settings: CallAnalyticsJobSettings?
        /// The date and time the specified Call Analytics job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?
        /// The tags, each in the form of a key:value pair, assigned to the specified call analytics job.
        public let tags: [Tag]?
        public let transcript: Transcript?

        @inlinable
        public init(callAnalyticsJobDetails: CallAnalyticsJobDetails? = nil, callAnalyticsJobName: String? = nil, callAnalyticsJobStatus: CallAnalyticsJobStatus? = nil, channelDefinitions: [ChannelDefinition]? = nil, completionTime: Date? = nil, creationTime: Date? = nil, dataAccessRoleArn: String? = nil, failureReason: String? = nil, identifiedLanguageScore: Float? = nil, languageCode: LanguageCode? = nil, media: Media? = nil, mediaFormat: MediaFormat? = nil, mediaSampleRateHertz: Int? = nil, settings: CallAnalyticsJobSettings? = nil, startTime: Date? = nil, tags: [Tag]? = nil, transcript: Transcript? = nil) {
            self.callAnalyticsJobDetails = callAnalyticsJobDetails
            self.callAnalyticsJobName = callAnalyticsJobName
            self.callAnalyticsJobStatus = callAnalyticsJobStatus
            self.channelDefinitions = channelDefinitions
            self.completionTime = completionTime
            self.creationTime = creationTime
            self.dataAccessRoleArn = dataAccessRoleArn
            self.failureReason = failureReason
            self.identifiedLanguageScore = identifiedLanguageScore
            self.languageCode = languageCode
            self.media = media
            self.mediaFormat = mediaFormat
            self.mediaSampleRateHertz = mediaSampleRateHertz
            self.settings = settings
            self.startTime = startTime
            self.tags = tags
            self.transcript = transcript
        }

        private enum CodingKeys: String, CodingKey {
            case callAnalyticsJobDetails = "CallAnalyticsJobDetails"
            case callAnalyticsJobName = "CallAnalyticsJobName"
            case callAnalyticsJobStatus = "CallAnalyticsJobStatus"
            case channelDefinitions = "ChannelDefinitions"
            case completionTime = "CompletionTime"
            case creationTime = "CreationTime"
            case dataAccessRoleArn = "DataAccessRoleArn"
            case failureReason = "FailureReason"
            case identifiedLanguageScore = "IdentifiedLanguageScore"
            case languageCode = "LanguageCode"
            case media = "Media"
            case mediaFormat = "MediaFormat"
            case mediaSampleRateHertz = "MediaSampleRateHertz"
            case settings = "Settings"
            case startTime = "StartTime"
            case tags = "Tags"
            case transcript = "Transcript"
        }
    }

    public struct CallAnalyticsJobDetails: AWSDecodableShape {
        /// Contains information about any skipped analytics features during the analysis of a call analytics job. This array lists all the analytics features that were skipped, along with their corresponding reason code and message.
        public let skipped: [CallAnalyticsSkippedFeature]?

        @inlinable
        public init(skipped: [CallAnalyticsSkippedFeature]? = nil) {
            self.skipped = skipped
        }

        private enum CodingKeys: String, CodingKey {
            case skipped = "Skipped"
        }
    }

    public struct CallAnalyticsJobSettings: AWSEncodableShape & AWSDecodableShape {
        public let contentRedaction: ContentRedaction?
        /// If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName).  LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters. It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription. If you want to include a custom language model, custom vocabulary, or custom vocabulary filter with your request but do not want to use automatic language identification, use instead the  parameter with the LanguageModelName, VocabularyName, or VocabularyFilterName sub-parameters. For a list of languages supported with Call Analytics, refer to Supported languages and  language-specific features.
        public let languageIdSettings: [LanguageCode: LanguageIdSettings]?
        /// The name of the custom language model you want to use when processing your Call Analytics job. Note that custom language model names are case sensitive. The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
        public let languageModelName: String?
        /// You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter. Including language options can improve the accuracy of language identification. For a list of languages supported with Call Analytics, refer to the Supported languages table. To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.
        public let languageOptions: [LanguageCode]?
        /// Contains GenerateAbstractiveSummary, which is a required parameter if you
        /// 	    want to enable Generative call summarization in your Call Analytics request.
        public let summarization: Summarization?
        /// Specify how you want your custom vocabulary filter applied to your transcript. To replace words with ***, choose mask. To delete words, choose remove. To flag words without changing them, choose tag.
        public let vocabularyFilterMethod: VocabularyFilterMethod?
        /// The name of the custom vocabulary filter you want to include in your Call Analytics transcription request. Custom vocabulary filter names are case sensitive. Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.
        public let vocabularyFilterName: String?
        /// The name of the custom vocabulary you want to include in your Call Analytics transcription request. Custom vocabulary names are case sensitive.
        public let vocabularyName: String?

        @inlinable
        public init(contentRedaction: ContentRedaction? = nil, languageIdSettings: [LanguageCode: LanguageIdSettings]? = nil, languageModelName: String? = nil, languageOptions: [LanguageCode]? = nil, summarization: Summarization? = nil, vocabularyFilterMethod: VocabularyFilterMethod? = nil, vocabularyFilterName: String? = nil, vocabularyName: String? = nil) {
            self.contentRedaction = contentRedaction
            self.languageIdSettings = languageIdSettings
            self.languageModelName = languageModelName
            self.languageOptions = languageOptions
            self.summarization = summarization
            self.vocabularyFilterMethod = vocabularyFilterMethod
            self.vocabularyFilterName = vocabularyFilterName
            self.vocabularyName = vocabularyName
        }

        public func validate(name: String) throws {
            try self.contentRedaction?.validate(name: "\(name).contentRedaction")
            try self.languageIdSettings?.forEach {
                try $0.value.validate(name: "\(name).languageIdSettings[\"\($0.key)\"]")
            }
            try self.validate(self.languageIdSettings, name: "languageIdSettings", parent: name, max: 5)
            try self.validate(self.languageIdSettings, name: "languageIdSettings", parent: name, min: 1)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, max: 200)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, min: 1)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.languageOptions, name: "languageOptions", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case contentRedaction = "ContentRedaction"
            case languageIdSettings = "LanguageIdSettings"
            case languageModelName = "LanguageModelName"
            case languageOptions = "LanguageOptions"
            case summarization = "Summarization"
            case vocabularyFilterMethod = "VocabularyFilterMethod"
            case vocabularyFilterName = "VocabularyFilterName"
            case vocabularyName = "VocabularyName"
        }
    }

    public struct CallAnalyticsJobSummary: AWSDecodableShape {
        /// Provides detailed information about a call analytics job, including information about skipped analytics features.
        public let callAnalyticsJobDetails: CallAnalyticsJobDetails?
        /// The name of the Call Analytics job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let callAnalyticsJobName: String?
        /// Provides the status of your Call Analytics job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.
        public let callAnalyticsJobStatus: CallAnalyticsJobStatus?
        /// The date and time the specified Call Analytics job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// The date and time the specified Call Analytics job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// If CallAnalyticsJobStatus is FAILED, FailureReason contains information about why the Call Analytics job failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code used to create your Call Analytics transcription.
        public let languageCode: LanguageCode?
        /// The date and time your Call Analytics job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?

        @inlinable
        public init(callAnalyticsJobDetails: CallAnalyticsJobDetails? = nil, callAnalyticsJobName: String? = nil, callAnalyticsJobStatus: CallAnalyticsJobStatus? = nil, completionTime: Date? = nil, creationTime: Date? = nil, failureReason: String? = nil, languageCode: LanguageCode? = nil, startTime: Date? = nil) {
            self.callAnalyticsJobDetails = callAnalyticsJobDetails
            self.callAnalyticsJobName = callAnalyticsJobName
            self.callAnalyticsJobStatus = callAnalyticsJobStatus
            self.completionTime = completionTime
            self.creationTime = creationTime
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.startTime = startTime
        }

        private enum CodingKeys: String, CodingKey {
            case callAnalyticsJobDetails = "CallAnalyticsJobDetails"
            case callAnalyticsJobName = "CallAnalyticsJobName"
            case callAnalyticsJobStatus = "CallAnalyticsJobStatus"
            case completionTime = "CompletionTime"
            case creationTime = "CreationTime"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case startTime = "StartTime"
        }
    }

    public struct CallAnalyticsSkippedFeature: AWSDecodableShape {
        /// Indicates the type of analytics feature that was skipped during the analysis of a call analytics job.
        public let feature: CallAnalyticsFeature?
        /// Contains additional information or a message explaining why a specific analytics feature was skipped during the analysis of a call analytics job.
        public let message: String?
        /// Provides a code indicating the reason why a specific analytics feature was skipped during the analysis of a call analytics job.
        public let reasonCode: CallAnalyticsSkippedReasonCode?

        @inlinable
        public init(feature: CallAnalyticsFeature? = nil, message: String? = nil, reasonCode: CallAnalyticsSkippedReasonCode? = nil) {
            self.feature = feature
            self.message = message
            self.reasonCode = reasonCode
        }

        private enum CodingKeys: String, CodingKey {
            case feature = "Feature"
            case message = "Message"
            case reasonCode = "ReasonCode"
        }
    }

    public struct CategoryProperties: AWSDecodableShape {
        /// The name of the Call Analytics category. Category names are case sensitive and must be unique within an Amazon Web Services account.
        public let categoryName: String?
        /// The date and time the specified Call Analytics category was created. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let createTime: Date?
        /// The input type associated with the specified category. POST_CALL  refers to a category that is applied to batch transcriptions; REAL_TIME  refers to a category that is applied to streaming transcriptions.
        public let inputType: InputType?
        /// The date and time the specified Call Analytics category was last updated. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-05T12:45:32.691000-07:00 represents 12:45 PM UTC-7 on May 5, 2022.
        public let lastUpdateTime: Date?
        /// The rules used to define a Call Analytics category. Each category can have between 1 and 20 rules.
        public let rules: [Rule]?
        /// The tags, each in the form of a key:value pair, assigned to the specified call analytics category.
        public let tags: [Tag]?

        @inlinable
        public init(categoryName: String? = nil, createTime: Date? = nil, inputType: InputType? = nil, lastUpdateTime: Date? = nil, rules: [Rule]? = nil, tags: [Tag]? = nil) {
            self.categoryName = categoryName
            self.createTime = createTime
            self.inputType = inputType
            self.lastUpdateTime = lastUpdateTime
            self.rules = rules
            self.tags = tags
        }

        private enum CodingKeys: String, CodingKey {
            case categoryName = "CategoryName"
            case createTime = "CreateTime"
            case inputType = "InputType"
            case lastUpdateTime = "LastUpdateTime"
            case rules = "Rules"
            case tags = "Tags"
        }
    }

    public struct ChannelDefinition: AWSEncodableShape & AWSDecodableShape {
        /// Specify the audio channel you want to define.
        public let channelId: Int?
        /// Specify the speaker you want to define. Omitting this parameter is equivalent to specifying both participants.
        public let participantRole: ParticipantRole?

        @inlinable
        public init(channelId: Int? = nil, participantRole: ParticipantRole? = nil) {
            self.channelId = channelId
            self.participantRole = participantRole
        }

        public func validate(name: String) throws {
            try self.validate(self.channelId, name: "channelId", parent: name, max: 1)
            try self.validate(self.channelId, name: "channelId", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case channelId = "ChannelId"
            case participantRole = "ParticipantRole"
        }
    }

    public struct ClinicalNoteGenerationSettings: AWSEncodableShape & AWSDecodableShape {
        /// Specify one of the following templates to use for the clinical note summary. The default is HISTORY_AND_PHYSICAL.   HISTORY_AND_PHYSICAL: Provides summaries for key sections of the clinical documentation. Examples of sections include Chief Complaint, History of Present Illness, Review of Systems, Past Medical History, Assessment, and Plan.    GIRPP: Provides summaries based on the patients progress toward goals. Examples of sections include Goal, Intervention, Response, Progress, and Plan.   BIRP: Focuses on the patient's behavioral patterns and responses. Examples of sections include Behavior, Intervention, Response, and Plan.   SIRP: Emphasizes the situational context of therapy. Examples of sections include Situation, Intervention, Response, and Plan.   DAP: Provides a simplified format for clinical documentation. Examples of sections include Data, Assessment, and Plan.   BEHAVIORAL_SOAP: Behavioral health focused documentation format. Examples of sections include Subjective, Objective, Assessment, and Plan.   PHYSICAL_SOAP: Physical health focused documentation format. Examples of sections include Subjective, Objective, Assessment, and Plan.
        public let noteTemplate: MedicalScribeNoteTemplate?

        @inlinable
        public init(noteTemplate: MedicalScribeNoteTemplate? = nil) {
            self.noteTemplate = noteTemplate
        }

        private enum CodingKeys: String, CodingKey {
            case noteTemplate = "NoteTemplate"
        }
    }

    public struct ContentRedaction: AWSEncodableShape & AWSDecodableShape {
        /// Specify which types of personally identifiable information (PII) you want to redact in your transcript. You can include as many types as you'd like, or you can select ALL. If you do not include PiiEntityTypes in your request, all PII is  redacted.
        public let piiEntityTypes: [PiiEntityType]?
        /// Specify if you want only a redacted transcript, or if you want a redacted and an unredacted transcript. When you choose redacted Amazon Transcribe creates only a redacted transcript. When you choose redacted_and_unredacted Amazon Transcribe creates a redacted and an unredacted transcript (as two separate files).
        public let redactionOutput: RedactionOutput
        /// Specify the category of information you want to redact; PII (personally identifiable information) is the only valid value. You can use PiiEntityTypes to  choose which types of PII you want to redact. If you do not include PiiEntityTypes in  your request, all PII is redacted.
        public let redactionType: RedactionType

        @inlinable
        public init(piiEntityTypes: [PiiEntityType]? = nil, redactionOutput: RedactionOutput, redactionType: RedactionType) {
            self.piiEntityTypes = piiEntityTypes
            self.redactionOutput = redactionOutput
            self.redactionType = redactionType
        }

        public func validate(name: String) throws {
            try self.validate(self.piiEntityTypes, name: "piiEntityTypes", parent: name, max: 11)
        }

        private enum CodingKeys: String, CodingKey {
            case piiEntityTypes = "PiiEntityTypes"
            case redactionOutput = "RedactionOutput"
            case redactionType = "RedactionType"
        }
    }

    public struct CreateCallAnalyticsCategoryRequest: AWSEncodableShape {
        /// A unique name, chosen by you, for your Call Analytics category. It's helpful to use a detailed naming system that will make sense to you in the future. For example, it's better to use sentiment-positive-last30seconds for a category over a generic name like test-category. Category names are case sensitive.
        public let categoryName: String
        /// Choose whether you want to create a real-time or a post-call category for your Call  Analytics transcription. Specifying POST_CALL assigns your category to post-call transcriptions;  categories with this input type cannot be applied to streaming (real-time)  transcriptions. Specifying REAL_TIME assigns your category to streaming transcriptions;  categories with this input type cannot be applied to post-call transcriptions. If you do not include InputType, your category is created as a post-call  category by default.
        public let inputType: InputType?
        /// Rules define a Call Analytics category. When creating a new category, you must create  between 1 and 20 rules for that category. For each rule, you specify a filter you want  applied to the attributes of a call. For example, you can choose a sentiment filter that  detects if a customer's sentiment was positive during the last 30 seconds of the call.
        public let rules: [Rule]
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics category at the time you start this new job. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?

        @inlinable
        public init(categoryName: String, inputType: InputType? = nil, rules: [Rule], tags: [Tag]? = nil) {
            self.categoryName = categoryName
            self.inputType = inputType
            self.rules = rules
            self.tags = tags
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.categoryName, key: "CategoryName")
            try container.encodeIfPresent(self.inputType, forKey: .inputType)
            try container.encode(self.rules, forKey: .rules)
            try container.encodeIfPresent(self.tags, forKey: .tags)
        }

        public func validate(name: String) throws {
            try self.validate(self.categoryName, name: "categoryName", parent: name, max: 200)
            try self.validate(self.categoryName, name: "categoryName", parent: name, min: 1)
            try self.validate(self.categoryName, name: "categoryName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.rules.forEach {
                try $0.validate(name: "\(name).rules[]")
            }
            try self.validate(self.rules, name: "rules", parent: name, max: 20)
            try self.validate(self.rules, name: "rules", parent: name, min: 1)
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case inputType = "InputType"
            case rules = "Rules"
            case tags = "Tags"
        }
    }

    public struct CreateCallAnalyticsCategoryResponse: AWSDecodableShape {
        /// Provides you with the properties of your new category, including its associated rules.
        public let categoryProperties: CategoryProperties?

        @inlinable
        public init(categoryProperties: CategoryProperties? = nil) {
            self.categoryProperties = categoryProperties
        }

        private enum CodingKeys: String, CodingKey {
            case categoryProperties = "CategoryProperties"
        }
    }

    public struct CreateLanguageModelRequest: AWSEncodableShape {
        /// The Amazon Transcribe standard language model, or base model, used to create your custom language model. Amazon Transcribe offers two options for base models: Wideband and Narrowband. If the audio you want to transcribe has a sample rate of 16,000 Hz or greater, choose WideBand. To transcribe audio with a sample rate less than 16,000 Hz, choose NarrowBand.
        public let baseModelName: BaseModelName
        /// Contains the Amazon S3 location of the training data you want to use to create a new custom language model, and permissions to access this location. When using InputDataConfig, you must include these sub-parameters: S3Uri, which is the Amazon S3 location of your training data, and DataAccessRoleArn, which is the Amazon Resource Name (ARN) of the role that has permission to access your specified Amazon S3 location. You can optionally include TuningDataS3Uri, which is the Amazon S3 location of your tuning data. If you specify different Amazon S3 locations for training and tuning data, the ARN you use must have permissions to access both locations.
        public let inputDataConfig: InputDataConfig
        /// The language code that represents the language of your model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data. For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the  only language supported with Amazon Transcribe Medical. A custom language model can only be used to transcribe files in the same language as the model. For example, if you create a custom language model using US English (en-US), you can only apply this model to files that contain English audio.
        public let languageCode: CLMLanguageCode
        /// A unique name, chosen by you, for your custom language model. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom language model with the same name as an existing custom language model, you get a ConflictException error.
        public let modelName: String
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new custom language model at the time you create this new model. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?

        @inlinable
        public init(baseModelName: BaseModelName, inputDataConfig: InputDataConfig, languageCode: CLMLanguageCode, modelName: String, tags: [Tag]? = nil) {
            self.baseModelName = baseModelName
            self.inputDataConfig = inputDataConfig
            self.languageCode = languageCode
            self.modelName = modelName
            self.tags = tags
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encode(self.baseModelName, forKey: .baseModelName)
            try container.encode(self.inputDataConfig, forKey: .inputDataConfig)
            try container.encode(self.languageCode, forKey: .languageCode)
            request.encodePath(self.modelName, key: "ModelName")
            try container.encodeIfPresent(self.tags, forKey: .tags)
        }

        public func validate(name: String) throws {
            try self.inputDataConfig.validate(name: "\(name).inputDataConfig")
            try self.validate(self.modelName, name: "modelName", parent: name, max: 200)
            try self.validate(self.modelName, name: "modelName", parent: name, min: 1)
            try self.validate(self.modelName, name: "modelName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case baseModelName = "BaseModelName"
            case inputDataConfig = "InputDataConfig"
            case languageCode = "LanguageCode"
            case tags = "Tags"
        }
    }

    public struct CreateLanguageModelResponse: AWSDecodableShape {
        /// The Amazon Transcribe standard language model, or base model, you specified when creating your custom language model.
        public let baseModelName: BaseModelName?
        /// Lists your data access role ARN (Amazon Resource Name) and the Amazon S3 locations you provided for your training (S3Uri) and tuning (TuningDataS3Uri) data.
        public let inputDataConfig: InputDataConfig?
        /// The language code you selected for your custom language model.
        public let languageCode: CLMLanguageCode?
        /// The name of your custom language model.
        public let modelName: String?
        /// The status of your custom language model. When the status displays as COMPLETED, your model is ready to use.
        public let modelStatus: ModelStatus?

        @inlinable
        public init(baseModelName: BaseModelName? = nil, inputDataConfig: InputDataConfig? = nil, languageCode: CLMLanguageCode? = nil, modelName: String? = nil, modelStatus: ModelStatus? = nil) {
            self.baseModelName = baseModelName
            self.inputDataConfig = inputDataConfig
            self.languageCode = languageCode
            self.modelName = modelName
            self.modelStatus = modelStatus
        }

        private enum CodingKeys: String, CodingKey {
            case baseModelName = "BaseModelName"
            case inputDataConfig = "InputDataConfig"
            case languageCode = "LanguageCode"
            case modelName = "ModelName"
            case modelStatus = "ModelStatus"
        }
    }

    public struct CreateMedicalVocabularyRequest: AWSEncodableShape {
        /// The language code that represents the language of the entries in your custom vocabulary. US English (en-US) is the only language supported with Amazon Transcribe Medical.
        public let languageCode: LanguageCode
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new custom medical vocabulary at the time you create this new custom vocabulary. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?
        /// The Amazon S3 location (URI) of the text file that contains your custom medical vocabulary. The URI must be in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
        public let vocabularyFileUri: String
        /// A unique name, chosen by you, for your new custom medical vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom medical vocabulary with the same name as an existing custom medical vocabulary, you get a ConflictException error.
        public let vocabularyName: String

        @inlinable
        public init(languageCode: LanguageCode, tags: [Tag]? = nil, vocabularyFileUri: String, vocabularyName: String) {
            self.languageCode = languageCode
            self.tags = tags
            self.vocabularyFileUri = vocabularyFileUri
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encode(self.languageCode, forKey: .languageCode)
            try container.encodeIfPresent(self.tags, forKey: .tags)
            try container.encode(self.vocabularyFileUri, forKey: .vocabularyFileUri)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, max: 2000)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, min: 1)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case tags = "Tags"
            case vocabularyFileUri = "VocabularyFileUri"
        }
    }

    public struct CreateMedicalVocabularyResponse: AWSDecodableShape {
        /// If VocabularyState is FAILED, FailureReason contains information about why the medical transcription job request failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code you selected for your custom medical vocabulary. US English (en-US) is the only language supported with Amazon Transcribe Medical.
        public let languageCode: LanguageCode?
        /// The date and time you created your custom medical vocabulary. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name you chose for your custom medical vocabulary.
        public let vocabularyName: String?
        /// The processing state of your custom medical vocabulary. If the state is READY, you can use the custom vocabulary in a StartMedicalTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(failureReason: String? = nil, languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }

    public struct CreateVocabularyFilterRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String?
        /// The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language. A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (en-US), you can only apply this filter to files that contain English audio. For a list of supported languages and their associated language codes, refer to the Supported languages table.
        public let languageCode: LanguageCode
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary filter at the time you create this new vocabulary filter. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?
        /// The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt  Note that if you include VocabularyFilterFileUri in your request, you cannot use Words; you must choose one or the other.
        public let vocabularyFilterFileUri: String?
        /// A unique name, chosen by you, for your new custom vocabulary filter. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary filter with the same name as an existing custom vocabulary filter, you get a ConflictException error.
        public let vocabularyFilterName: String
        /// Use this parameter if you want to create your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for creating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFilterFileUri parameter. Note that if you include Words in your request, you cannot use VocabularyFilterFileUri; you must choose one or the other. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
        public let words: [String]?

        @inlinable
        public init(dataAccessRoleArn: String? = nil, languageCode: LanguageCode, tags: [Tag]? = nil, vocabularyFilterFileUri: String? = nil, vocabularyFilterName: String, words: [String]? = nil) {
            self.dataAccessRoleArn = dataAccessRoleArn
            self.languageCode = languageCode
            self.tags = tags
            self.vocabularyFilterFileUri = vocabularyFilterFileUri
            self.vocabularyFilterName = vocabularyFilterName
            self.words = words
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.dataAccessRoleArn, forKey: .dataAccessRoleArn)
            try container.encode(self.languageCode, forKey: .languageCode)
            try container.encodeIfPresent(self.tags, forKey: .tags)
            try container.encodeIfPresent(self.vocabularyFilterFileUri, forKey: .vocabularyFilterFileUri)
            request.encodePath(self.vocabularyFilterName, key: "VocabularyFilterName")
            try container.encodeIfPresent(self.words, forKey: .words)
        }

        public func validate(name: String) throws {
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
            try self.validate(self.vocabularyFilterFileUri, name: "vocabularyFilterFileUri", parent: name, max: 2000)
            try self.validate(self.vocabularyFilterFileUri, name: "vocabularyFilterFileUri", parent: name, min: 1)
            try self.validate(self.vocabularyFilterFileUri, name: "vocabularyFilterFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.words?.forEach {
                try validate($0, name: "words[]", parent: name, max: 256)
                try validate($0, name: "words[]", parent: name, min: 1)
            }
            try self.validate(self.words, name: "words", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case dataAccessRoleArn = "DataAccessRoleArn"
            case languageCode = "LanguageCode"
            case tags = "Tags"
            case vocabularyFilterFileUri = "VocabularyFilterFileUri"
            case words = "Words"
        }
    }

    public struct CreateVocabularyFilterResponse: AWSDecodableShape {
        /// The language code you selected for your custom vocabulary filter.
        public let languageCode: LanguageCode?
        /// The date and time you created your custom vocabulary filter. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name you chose for your custom vocabulary filter.
        public let vocabularyFilterName: String?

        @inlinable
        public init(languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyFilterName: String? = nil) {
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyFilterName = vocabularyFilterName
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyFilterName = "VocabularyFilterName"
        }
    }

    public struct CreateVocabularyRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String?
        /// The language code that represents the language of the entries in your custom vocabulary. Each custom vocabulary must contain terms in only one language. A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (en-US), you can only apply this custom vocabulary to files that contain English audio. For a list of supported languages and their associated language codes, refer to the Supported languages table.
        public let languageCode: LanguageCode
        /// Use this parameter if you want to create your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for creating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFileUri parameter. Note that if you include Phrases in your request, you cannot use VocabularyFileUri; you must choose one or the other. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
        public let phrases: [String]?
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new custom vocabulary at the time you create this new custom vocabulary. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?
        /// The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt  Note that if you include VocabularyFileUri in your request, you cannot use the Phrases flag; you must choose one or the other.
        public let vocabularyFileUri: String?
        /// A unique name, chosen by you, for your new custom vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new custom vocabulary with the same name as an existing custom vocabulary, you get a ConflictException error.
        public let vocabularyName: String

        @inlinable
        public init(dataAccessRoleArn: String? = nil, languageCode: LanguageCode, phrases: [String]? = nil, tags: [Tag]? = nil, vocabularyFileUri: String? = nil, vocabularyName: String) {
            self.dataAccessRoleArn = dataAccessRoleArn
            self.languageCode = languageCode
            self.phrases = phrases
            self.tags = tags
            self.vocabularyFileUri = vocabularyFileUri
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.dataAccessRoleArn, forKey: .dataAccessRoleArn)
            try container.encode(self.languageCode, forKey: .languageCode)
            try container.encodeIfPresent(self.phrases, forKey: .phrases)
            try container.encodeIfPresent(self.tags, forKey: .tags)
            try container.encodeIfPresent(self.vocabularyFileUri, forKey: .vocabularyFileUri)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.phrases?.forEach {
                try validate($0, name: "phrases[]", parent: name, max: 256)
                try validate($0, name: "phrases[]", parent: name, pattern: "^.+$")
            }
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, max: 2000)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, min: 1)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case dataAccessRoleArn = "DataAccessRoleArn"
            case languageCode = "LanguageCode"
            case phrases = "Phrases"
            case tags = "Tags"
            case vocabularyFileUri = "VocabularyFileUri"
        }
    }

    public struct CreateVocabularyResponse: AWSDecodableShape {
        /// If VocabularyState is FAILED, FailureReason contains information about why the custom vocabulary request failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code you selected for your custom vocabulary.
        public let languageCode: LanguageCode?
        /// The date and time you created your custom vocabulary. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name you chose for your custom vocabulary.
        public let vocabularyName: String?
        /// The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(failureReason: String? = nil, languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }

    public struct DeleteCallAnalyticsCategoryRequest: AWSEncodableShape {
        /// The name of the Call Analytics category you want to delete. Category names are case sensitive.
        public let categoryName: String

        @inlinable
        public init(categoryName: String) {
            self.categoryName = categoryName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.categoryName, key: "CategoryName")
        }

        public func validate(name: String) throws {
            try self.validate(self.categoryName, name: "categoryName", parent: name, max: 200)
            try self.validate(self.categoryName, name: "categoryName", parent: name, min: 1)
            try self.validate(self.categoryName, name: "categoryName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteCallAnalyticsCategoryResponse: AWSDecodableShape {
        public init() {}
    }

    public struct DeleteCallAnalyticsJobRequest: AWSEncodableShape {
        /// The name of the Call Analytics job you want to delete. Job names are case sensitive.
        public let callAnalyticsJobName: String

        @inlinable
        public init(callAnalyticsJobName: String) {
            self.callAnalyticsJobName = callAnalyticsJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.callAnalyticsJobName, key: "CallAnalyticsJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, max: 200)
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, min: 1)
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteCallAnalyticsJobResponse: AWSDecodableShape {
        public init() {}
    }

    public struct DeleteLanguageModelRequest: AWSEncodableShape {
        /// The name of the custom language model you want to delete. Model names are case sensitive.
        public let modelName: String

        @inlinable
        public init(modelName: String) {
            self.modelName = modelName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.modelName, key: "ModelName")
        }

        public func validate(name: String) throws {
            try self.validate(self.modelName, name: "modelName", parent: name, max: 200)
            try self.validate(self.modelName, name: "modelName", parent: name, min: 1)
            try self.validate(self.modelName, name: "modelName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteMedicalScribeJobRequest: AWSEncodableShape {
        /// The name of the Medical Scribe job you want to delete. Job names are case sensitive.
        public let medicalScribeJobName: String

        @inlinable
        public init(medicalScribeJobName: String) {
            self.medicalScribeJobName = medicalScribeJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.medicalScribeJobName, key: "MedicalScribeJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, max: 200)
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, min: 1)
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteMedicalTranscriptionJobRequest: AWSEncodableShape {
        /// The name of the medical transcription job you want to delete. Job names are case sensitive.
        public let medicalTranscriptionJobName: String

        @inlinable
        public init(medicalTranscriptionJobName: String) {
            self.medicalTranscriptionJobName = medicalTranscriptionJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.medicalTranscriptionJobName, key: "MedicalTranscriptionJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, max: 200)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, min: 1)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteMedicalVocabularyRequest: AWSEncodableShape {
        /// The name of the custom medical vocabulary you want to delete. Custom medical vocabulary names are case sensitive.
        public let vocabularyName: String

        @inlinable
        public init(vocabularyName: String) {
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteTranscriptionJobRequest: AWSEncodableShape {
        /// The name of the transcription job you want to delete. Job names are case sensitive.
        public let transcriptionJobName: String

        @inlinable
        public init(transcriptionJobName: String) {
            self.transcriptionJobName = transcriptionJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.transcriptionJobName, key: "TranscriptionJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, max: 200)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, min: 1)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteVocabularyFilterRequest: AWSEncodableShape {
        /// The name of the custom vocabulary filter you want to delete. Custom vocabulary filter names are case sensitive.
        public let vocabularyFilterName: String

        @inlinable
        public init(vocabularyFilterName: String) {
            self.vocabularyFilterName = vocabularyFilterName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.vocabularyFilterName, key: "VocabularyFilterName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DeleteVocabularyRequest: AWSEncodableShape {
        /// The name of the custom vocabulary you want to delete. Custom vocabulary names are case sensitive.
        public let vocabularyName: String

        @inlinable
        public init(vocabularyName: String) {
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DescribeLanguageModelRequest: AWSEncodableShape {
        /// The name of the custom language model you want information about. Model names are case sensitive.
        public let modelName: String

        @inlinable
        public init(modelName: String) {
            self.modelName = modelName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.modelName, key: "ModelName")
        }

        public func validate(name: String) throws {
            try self.validate(self.modelName, name: "modelName", parent: name, max: 200)
            try self.validate(self.modelName, name: "modelName", parent: name, min: 1)
            try self.validate(self.modelName, name: "modelName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct DescribeLanguageModelResponse: AWSDecodableShape {
        /// Provides information about the specified custom language model. This parameter also shows if the base language model you used to create your custom language model has been updated. If Amazon Transcribe has updated the base model, you can create a new custom language model using the updated base model. If you tried to create a new custom language model and the request wasn't successful, you can use this DescribeLanguageModel to help identify the reason for this failure.
        public let languageModel: LanguageModel?

        @inlinable
        public init(languageModel: LanguageModel? = nil) {
            self.languageModel = languageModel
        }

        private enum CodingKeys: String, CodingKey {
            case languageModel = "LanguageModel"
        }
    }

    public struct GetCallAnalyticsCategoryRequest: AWSEncodableShape {
        /// The name of the Call Analytics category you want information about. Category names are case sensitive.
        public let categoryName: String

        @inlinable
        public init(categoryName: String) {
            self.categoryName = categoryName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.categoryName, key: "CategoryName")
        }

        public func validate(name: String) throws {
            try self.validate(self.categoryName, name: "categoryName", parent: name, max: 200)
            try self.validate(self.categoryName, name: "categoryName", parent: name, min: 1)
            try self.validate(self.categoryName, name: "categoryName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetCallAnalyticsCategoryResponse: AWSDecodableShape {
        /// Provides you with the properties of the Call Analytics category you specified in your GetCallAnalyticsCategory request.
        public let categoryProperties: CategoryProperties?

        @inlinable
        public init(categoryProperties: CategoryProperties? = nil) {
            self.categoryProperties = categoryProperties
        }

        private enum CodingKeys: String, CodingKey {
            case categoryProperties = "CategoryProperties"
        }
    }

    public struct GetCallAnalyticsJobRequest: AWSEncodableShape {
        /// The name of the Call Analytics job you want information about. Job names are case sensitive.
        public let callAnalyticsJobName: String

        @inlinable
        public init(callAnalyticsJobName: String) {
            self.callAnalyticsJobName = callAnalyticsJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.callAnalyticsJobName, key: "CallAnalyticsJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, max: 200)
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, min: 1)
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetCallAnalyticsJobResponse: AWSDecodableShape {
        /// Provides detailed information about the specified Call Analytics job, including job status and, if applicable, failure reason.
        public let callAnalyticsJob: CallAnalyticsJob?

        @inlinable
        public init(callAnalyticsJob: CallAnalyticsJob? = nil) {
            self.callAnalyticsJob = callAnalyticsJob
        }

        private enum CodingKeys: String, CodingKey {
            case callAnalyticsJob = "CallAnalyticsJob"
        }
    }

    public struct GetMedicalScribeJobRequest: AWSEncodableShape {
        /// The name of the Medical Scribe job you want information about. Job names are case sensitive.
        public let medicalScribeJobName: String

        @inlinable
        public init(medicalScribeJobName: String) {
            self.medicalScribeJobName = medicalScribeJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.medicalScribeJobName, key: "MedicalScribeJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, max: 200)
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, min: 1)
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetMedicalScribeJobResponse: AWSDecodableShape {
        /// Provides detailed information about the specified Medical Scribe job, including  job status and, if applicable, failure reason
        public let medicalScribeJob: MedicalScribeJob?

        @inlinable
        public init(medicalScribeJob: MedicalScribeJob? = nil) {
            self.medicalScribeJob = medicalScribeJob
        }

        private enum CodingKeys: String, CodingKey {
            case medicalScribeJob = "MedicalScribeJob"
        }
    }

    public struct GetMedicalTranscriptionJobRequest: AWSEncodableShape {
        /// The name of the medical transcription job you want information about. Job names are case sensitive.
        public let medicalTranscriptionJobName: String

        @inlinable
        public init(medicalTranscriptionJobName: String) {
            self.medicalTranscriptionJobName = medicalTranscriptionJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.medicalTranscriptionJobName, key: "MedicalTranscriptionJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, max: 200)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, min: 1)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetMedicalTranscriptionJobResponse: AWSDecodableShape {
        /// Provides detailed information about the specified medical transcription job, including job status and, if applicable, failure reason.
        public let medicalTranscriptionJob: MedicalTranscriptionJob?

        @inlinable
        public init(medicalTranscriptionJob: MedicalTranscriptionJob? = nil) {
            self.medicalTranscriptionJob = medicalTranscriptionJob
        }

        private enum CodingKeys: String, CodingKey {
            case medicalTranscriptionJob = "MedicalTranscriptionJob"
        }
    }

    public struct GetMedicalVocabularyRequest: AWSEncodableShape {
        /// The name of the custom medical vocabulary you want information about. Custom medical vocabulary names are case sensitive.
        public let vocabularyName: String

        @inlinable
        public init(vocabularyName: String) {
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetMedicalVocabularyResponse: AWSDecodableShape {
        /// The Amazon S3 location where the specified custom medical vocabulary is stored; use this URI to view or download the custom vocabulary.
        public let downloadUri: String?
        /// If VocabularyState is FAILED, FailureReason contains information about why the custom medical vocabulary request failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code you selected for your custom medical vocabulary. US English (en-US) is the only language supported with Amazon Transcribe Medical.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom medical vocabulary was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name of the custom medical vocabulary you requested information about.
        public let vocabularyName: String?
        /// The processing state of your custom medical vocabulary. If the state is READY, you can use the custom vocabulary in a StartMedicalTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(downloadUri: String? = nil, failureReason: String? = nil, languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.downloadUri = downloadUri
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case downloadUri = "DownloadUri"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }

    public struct GetTranscriptionJobRequest: AWSEncodableShape {
        /// The name of the transcription job you want information about. Job names are case sensitive.
        public let transcriptionJobName: String

        @inlinable
        public init(transcriptionJobName: String) {
            self.transcriptionJobName = transcriptionJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.transcriptionJobName, key: "TranscriptionJobName")
        }

        public func validate(name: String) throws {
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, max: 200)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, min: 1)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetTranscriptionJobResponse: AWSDecodableShape {
        /// Provides detailed information about the specified transcription job, including job status and, if applicable, failure reason.
        public let transcriptionJob: TranscriptionJob?

        @inlinable
        public init(transcriptionJob: TranscriptionJob? = nil) {
            self.transcriptionJob = transcriptionJob
        }

        private enum CodingKeys: String, CodingKey {
            case transcriptionJob = "TranscriptionJob"
        }
    }

    public struct GetVocabularyFilterRequest: AWSEncodableShape {
        /// The name of the custom vocabulary filter you want information about. Custom vocabulary filter names are case sensitive.
        public let vocabularyFilterName: String

        @inlinable
        public init(vocabularyFilterName: String) {
            self.vocabularyFilterName = vocabularyFilterName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.vocabularyFilterName, key: "VocabularyFilterName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetVocabularyFilterResponse: AWSDecodableShape {
        /// The Amazon S3 location where the custom vocabulary filter is stored; use this URI to view or download the custom vocabulary filter.
        public let downloadUri: String?
        /// The language code you selected for your custom vocabulary filter.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom vocabulary filter was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name of the custom vocabulary filter you requested information about.
        public let vocabularyFilterName: String?

        @inlinable
        public init(downloadUri: String? = nil, languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyFilterName: String? = nil) {
            self.downloadUri = downloadUri
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyFilterName = vocabularyFilterName
        }

        private enum CodingKeys: String, CodingKey {
            case downloadUri = "DownloadUri"
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyFilterName = "VocabularyFilterName"
        }
    }

    public struct GetVocabularyRequest: AWSEncodableShape {
        /// The name of the custom vocabulary you want information about. Custom vocabulary names are case sensitive.
        public let vocabularyName: String

        @inlinable
        public init(vocabularyName: String) {
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct GetVocabularyResponse: AWSDecodableShape {
        /// The Amazon S3 location where the custom vocabulary is stored; use this URI to view or download the custom vocabulary.
        public let downloadUri: String?
        /// If VocabularyState is FAILED, FailureReason contains information about why the custom vocabulary request failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code you selected for your custom vocabulary.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom vocabulary was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name of the custom vocabulary you requested information about.
        public let vocabularyName: String?
        /// The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(downloadUri: String? = nil, failureReason: String? = nil, languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.downloadUri = downloadUri
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case downloadUri = "DownloadUri"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }

    public struct InputDataConfig: AWSEncodableShape & AWSDecodableShape {
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String
        /// The Amazon S3 location (URI) of the text files you want to use to train your custom language model. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-model-training-data/
        public let s3Uri: String
        /// The Amazon S3 location (URI) of the text files you want to use to tune your custom language model. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-model-tuning-data/
        public let tuningDataS3Uri: String?

        @inlinable
        public init(dataAccessRoleArn: String, s3Uri: String, tuningDataS3Uri: String? = nil) {
            self.dataAccessRoleArn = dataAccessRoleArn
            self.s3Uri = s3Uri
            self.tuningDataS3Uri = tuningDataS3Uri
        }

        public func validate(name: String) throws {
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.validate(self.s3Uri, name: "s3Uri", parent: name, max: 2000)
            try self.validate(self.s3Uri, name: "s3Uri", parent: name, min: 1)
            try self.validate(self.s3Uri, name: "s3Uri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.tuningDataS3Uri, name: "tuningDataS3Uri", parent: name, max: 2000)
            try self.validate(self.tuningDataS3Uri, name: "tuningDataS3Uri", parent: name, min: 1)
            try self.validate(self.tuningDataS3Uri, name: "tuningDataS3Uri", parent: name, pattern: "^(s3://|http(s*)://).+$")
        }

        private enum CodingKeys: String, CodingKey {
            case dataAccessRoleArn = "DataAccessRoleArn"
            case s3Uri = "S3Uri"
            case tuningDataS3Uri = "TuningDataS3Uri"
        }
    }

    public struct InterruptionFilter: AWSEncodableShape & AWSDecodableShape {
        /// Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for an interruption. See  for more detail.
        public let absoluteTimeRange: AbsoluteTimeRange?
        /// Set to TRUE to flag speech that does not contain interruptions. Set to FALSE to flag speech that contains interruptions.
        public let negate: Bool?
        /// Specify the interrupter that you want to flag. Omitting this parameter is equivalent to specifying both participants.
        public let participantRole: ParticipantRole?
        /// Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for an interruption. See  for more detail.
        public let relativeTimeRange: RelativeTimeRange?
        /// Specify the duration of the interruptions in milliseconds. For example, you can flag speech that contains more than 10,000 milliseconds of interruptions.
        public let threshold: Int64?

        @inlinable
        public init(absoluteTimeRange: AbsoluteTimeRange? = nil, negate: Bool? = nil, participantRole: ParticipantRole? = nil, relativeTimeRange: RelativeTimeRange? = nil, threshold: Int64? = nil) {
            self.absoluteTimeRange = absoluteTimeRange
            self.negate = negate
            self.participantRole = participantRole
            self.relativeTimeRange = relativeTimeRange
            self.threshold = threshold
        }

        public func validate(name: String) throws {
            try self.absoluteTimeRange?.validate(name: "\(name).absoluteTimeRange")
            try self.relativeTimeRange?.validate(name: "\(name).relativeTimeRange")
            try self.validate(self.threshold, name: "threshold", parent: name, max: 14400000)
            try self.validate(self.threshold, name: "threshold", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case absoluteTimeRange = "AbsoluteTimeRange"
            case negate = "Negate"
            case participantRole = "ParticipantRole"
            case relativeTimeRange = "RelativeTimeRange"
            case threshold = "Threshold"
        }
    }

    public struct JobExecutionSettings: AWSEncodableShape & AWSDecodableShape {
        /// Makes it possible to enable job queuing when your concurrent request limit is exceeded. When AllowDeferredExecution is set to true, transcription job requests are placed in a queue until the number of jobs falls below the concurrent request limit. If AllowDeferredExecution is set to false and the number of transcription job requests exceed the concurrent request limit, you get a LimitExceededException error. If you include AllowDeferredExecution in your request, you must also include DataAccessRoleArn.
        public let allowDeferredExecution: Bool?
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3  location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs. Note that if you include DataAccessRoleArn in your request, you must also include AllowDeferredExecution.
        public let dataAccessRoleArn: String?

        @inlinable
        public init(allowDeferredExecution: Bool? = nil, dataAccessRoleArn: String? = nil) {
            self.allowDeferredExecution = allowDeferredExecution
            self.dataAccessRoleArn = dataAccessRoleArn
        }

        public func validate(name: String) throws {
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
        }

        private enum CodingKeys: String, CodingKey {
            case allowDeferredExecution = "AllowDeferredExecution"
            case dataAccessRoleArn = "DataAccessRoleArn"
        }
    }

    public struct LanguageCodeItem: AWSDecodableShape {
        /// Provides the total time, in seconds, each identified language is spoken in your media.
        public let durationInSeconds: Float?
        /// Provides the language code for each language identified in your media.
        public let languageCode: LanguageCode?

        @inlinable
        public init(durationInSeconds: Float? = nil, languageCode: LanguageCode? = nil) {
            self.durationInSeconds = durationInSeconds
            self.languageCode = languageCode
        }

        private enum CodingKeys: String, CodingKey {
            case durationInSeconds = "DurationInSeconds"
            case languageCode = "LanguageCode"
        }
    }

    public struct LanguageIdSettings: AWSEncodableShape & AWSDecodableShape {
        /// The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive. The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
        public let languageModelName: String?
        /// The name of the custom vocabulary filter you want to use when processing your transcription job. Custom vocabulary filter names are case sensitive. The language of the specified custom vocabulary filter must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary filter isn't applied. There are no errors or warnings associated with a language mismatch. Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.
        public let vocabularyFilterName: String?
        /// The name of the custom vocabulary you want to use when processing your transcription job. Custom vocabulary names are case sensitive. The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch.
        public let vocabularyName: String?

        @inlinable
        public init(languageModelName: String? = nil, vocabularyFilterName: String? = nil, vocabularyName: String? = nil) {
            self.languageModelName = languageModelName
            self.vocabularyFilterName = vocabularyFilterName
            self.vocabularyName = vocabularyName
        }

        public func validate(name: String) throws {
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, max: 200)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, min: 1)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case languageModelName = "LanguageModelName"
            case vocabularyFilterName = "VocabularyFilterName"
            case vocabularyName = "VocabularyName"
        }
    }

    public struct LanguageModel: AWSDecodableShape {
        /// The Amazon Transcribe standard language model, or base model, used to create your custom language model.
        public let baseModelName: BaseModelName?
        /// The date and time the specified custom language model was created. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let createTime: Date?
        /// If ModelStatus is FAILED, FailureReason contains information about why the custom language model request failed. See also: Common Errors.
        public let failureReason: String?
        /// The Amazon S3 location of the input files used to train and tune your custom language model, in addition to the data access role ARN (Amazon Resource Name) that has permissions to access these data.
        public let inputDataConfig: InputDataConfig?
        /// The language code used to create your custom language model. Each custom language model must contain terms in only one language, and the language you select for your custom language model must match the language of your training and tuning data. For a list of supported languages and their associated language codes, refer to the Supported languages table. Note that US English (en-US) is the only language supported with Amazon Transcribe Medical.
        public let languageCode: CLMLanguageCode?
        /// The date and time the specified custom language model was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// A unique name, chosen by you, for your custom language model. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
        public let modelName: String?
        /// The status of the specified custom language model. When the status displays as COMPLETED the model is ready for use.
        public let modelStatus: ModelStatus?
        /// Shows if a more current base model is available for use with the specified custom language model. If false, your custom language model is using the most up-to-date base model. If true, there is a newer base model available than the one your language model is using. Note that to update a base model, you must recreate the custom language model using the new base model. Base model upgrades for existing custom language models are not supported.
        public let upgradeAvailability: Bool?

        @inlinable
        public init(baseModelName: BaseModelName? = nil, createTime: Date? = nil, failureReason: String? = nil, inputDataConfig: InputDataConfig? = nil, languageCode: CLMLanguageCode? = nil, lastModifiedTime: Date? = nil, modelName: String? = nil, modelStatus: ModelStatus? = nil, upgradeAvailability: Bool? = nil) {
            self.baseModelName = baseModelName
            self.createTime = createTime
            self.failureReason = failureReason
            self.inputDataConfig = inputDataConfig
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.modelName = modelName
            self.modelStatus = modelStatus
            self.upgradeAvailability = upgradeAvailability
        }

        private enum CodingKeys: String, CodingKey {
            case baseModelName = "BaseModelName"
            case createTime = "CreateTime"
            case failureReason = "FailureReason"
            case inputDataConfig = "InputDataConfig"
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case modelName = "ModelName"
            case modelStatus = "ModelStatus"
            case upgradeAvailability = "UpgradeAvailability"
        }
    }

    public struct ListCallAnalyticsCategoriesRequest: AWSEncodableShape {
        /// The maximum number of Call Analytics categories to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// If your ListCallAnalyticsCategories request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?

        @inlinable
        public init(maxResults: Int? = nil, nextToken: String? = nil) {
            self.maxResults = maxResults
            self.nextToken = nextToken
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nextToken, key: "NextToken")
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListCallAnalyticsCategoriesResponse: AWSDecodableShape {
        /// Provides detailed information about your Call Analytics categories, including all the rules associated with each category.
        public let categories: [CategoryProperties]?
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?

        @inlinable
        public init(categories: [CategoryProperties]? = nil, nextToken: String? = nil) {
            self.categories = categories
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case categories = "Categories"
            case nextToken = "NextToken"
        }
    }

    public struct ListCallAnalyticsJobsRequest: AWSEncodableShape {
        /// Returns only the Call Analytics jobs that contain the specified string. The search is not case sensitive.
        public let jobNameContains: String?
        /// The maximum number of Call Analytics jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// If your ListCallAnalyticsJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only Call Analytics jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all Call Analytics jobs are returned.
        public let status: CallAnalyticsJobStatus?

        @inlinable
        public init(jobNameContains: String? = nil, maxResults: Int? = nil, nextToken: String? = nil, status: CallAnalyticsJobStatus? = nil) {
            self.jobNameContains = jobNameContains
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.status = status
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.jobNameContains, key: "JobNameContains")
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.status, key: "Status")
        }

        public func validate(name: String) throws {
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, max: 200)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, min: 1)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListCallAnalyticsJobsResponse: AWSDecodableShape {
        /// Provides a summary of information about each result.
        public let callAnalyticsJobSummaries: [CallAnalyticsJobSummary]?
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Lists all Call Analytics jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
        public let status: CallAnalyticsJobStatus?

        @inlinable
        public init(callAnalyticsJobSummaries: [CallAnalyticsJobSummary]? = nil, nextToken: String? = nil, status: CallAnalyticsJobStatus? = nil) {
            self.callAnalyticsJobSummaries = callAnalyticsJobSummaries
            self.nextToken = nextToken
            self.status = status
        }

        private enum CodingKeys: String, CodingKey {
            case callAnalyticsJobSummaries = "CallAnalyticsJobSummaries"
            case nextToken = "NextToken"
            case status = "Status"
        }
    }

    public struct ListLanguageModelsRequest: AWSEncodableShape {
        /// The maximum number of custom language models to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// Returns only the custom language models that contain the specified string. The search is not case sensitive.
        public let nameContains: String?
        /// If your ListLanguageModels request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only custom language models with the specified status. Language models are ordered by creation date, with the newest model first. If you do not include StatusEquals, all custom language models are returned.
        public let statusEquals: ModelStatus?

        @inlinable
        public init(maxResults: Int? = nil, nameContains: String? = nil, nextToken: String? = nil, statusEquals: ModelStatus? = nil) {
            self.maxResults = maxResults
            self.nameContains = nameContains
            self.nextToken = nextToken
            self.statusEquals = statusEquals
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nameContains, key: "NameContains")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.statusEquals, key: "         StatusEquals")
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, max: 200)
            try self.validate(self.nameContains, name: "nameContains", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListLanguageModelsResponse: AWSDecodableShape {
        /// Provides information about the custom language models that match the criteria specified in your request.
        public let models: [LanguageModel]?
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?

        @inlinable
        public init(models: [LanguageModel]? = nil, nextToken: String? = nil) {
            self.models = models
            self.nextToken = nextToken
        }

        private enum CodingKeys: String, CodingKey {
            case models = "Models"
            case nextToken = "NextToken"
        }
    }

    public struct ListMedicalScribeJobsRequest: AWSEncodableShape {
        /// Returns only the Medical Scribe jobs that contain the specified string. The search is not case sensitive.
        public let jobNameContains: String?
        /// The maximum number of Medical Scribe jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// If your ListMedicalScribeJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only Medical Scribe jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all Medical Scribe jobs are returned.
        public let status: MedicalScribeJobStatus?

        @inlinable
        public init(jobNameContains: String? = nil, maxResults: Int? = nil, nextToken: String? = nil, status: MedicalScribeJobStatus? = nil) {
            self.jobNameContains = jobNameContains
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.status = status
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.jobNameContains, key: "JobNameContains")
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.status, key: "Status")
        }

        public func validate(name: String) throws {
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, max: 200)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, min: 1)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListMedicalScribeJobsResponse: AWSDecodableShape {
        /// Provides a summary of information about each result.
        public let medicalScribeJobSummaries: [MedicalScribeJobSummary]?
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Lists all Medical Scribe jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
        public let status: MedicalScribeJobStatus?

        @inlinable
        public init(medicalScribeJobSummaries: [MedicalScribeJobSummary]? = nil, nextToken: String? = nil, status: MedicalScribeJobStatus? = nil) {
            self.medicalScribeJobSummaries = medicalScribeJobSummaries
            self.nextToken = nextToken
            self.status = status
        }

        private enum CodingKeys: String, CodingKey {
            case medicalScribeJobSummaries = "MedicalScribeJobSummaries"
            case nextToken = "NextToken"
            case status = "Status"
        }
    }

    public struct ListMedicalTranscriptionJobsRequest: AWSEncodableShape {
        /// Returns only the medical transcription jobs that contain the specified string. The search is not case sensitive.
        public let jobNameContains: String?
        /// The maximum number of medical transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// If your ListMedicalTranscriptionJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only medical transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all medical transcription jobs are returned.
        public let status: TranscriptionJobStatus?

        @inlinable
        public init(jobNameContains: String? = nil, maxResults: Int? = nil, nextToken: String? = nil, status: TranscriptionJobStatus? = nil) {
            self.jobNameContains = jobNameContains
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.status = status
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.jobNameContains, key: "JobNameContains")
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.status, key: "Status")
        }

        public func validate(name: String) throws {
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, max: 200)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, min: 1)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListMedicalTranscriptionJobsResponse: AWSDecodableShape {
        /// Provides a summary of information about each result.
        public let medicalTranscriptionJobSummaries: [MedicalTranscriptionJobSummary]?
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Lists all medical transcription jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
        public let status: TranscriptionJobStatus?

        @inlinable
        public init(medicalTranscriptionJobSummaries: [MedicalTranscriptionJobSummary]? = nil, nextToken: String? = nil, status: TranscriptionJobStatus? = nil) {
            self.medicalTranscriptionJobSummaries = medicalTranscriptionJobSummaries
            self.nextToken = nextToken
            self.status = status
        }

        private enum CodingKeys: String, CodingKey {
            case medicalTranscriptionJobSummaries = "MedicalTranscriptionJobSummaries"
            case nextToken = "NextToken"
            case status = "Status"
        }
    }

    public struct ListMedicalVocabulariesRequest: AWSEncodableShape {
        /// The maximum number of custom medical vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// Returns only the custom medical vocabularies that contain the specified string. The search is not case sensitive.
        public let nameContains: String?
        /// If your ListMedicalVocabularies request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only custom medical vocabularies with the specified state. Custom vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include StateEquals, all custom medical vocabularies are returned.
        public let stateEquals: VocabularyState?

        @inlinable
        public init(maxResults: Int? = nil, nameContains: String? = nil, nextToken: String? = nil, stateEquals: VocabularyState? = nil) {
            self.maxResults = maxResults
            self.nameContains = nameContains
            self.nextToken = nextToken
            self.stateEquals = stateEquals
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nameContains, key: "NameContains")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.stateEquals, key: "StateEquals")
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, max: 200)
            try self.validate(self.nameContains, name: "nameContains", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListMedicalVocabulariesResponse: AWSDecodableShape {
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Lists all custom medical vocabularies that have the status specified in your request. Custom vocabularies are ordered by creation date, with the newest vocabulary first.
        public let status: VocabularyState?
        /// Provides information about the custom medical vocabularies that match the criteria specified in your request.
        public let vocabularies: [VocabularyInfo]?

        @inlinable
        public init(nextToken: String? = nil, status: VocabularyState? = nil, vocabularies: [VocabularyInfo]? = nil) {
            self.nextToken = nextToken
            self.status = status
            self.vocabularies = vocabularies
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "NextToken"
            case status = "Status"
            case vocabularies = "Vocabularies"
        }
    }

    public struct ListTagsForResourceRequest: AWSEncodableShape {
        /// Returns a list of all tags associated with the specified Amazon Resource Name (ARN). ARNs have the format arn:partition:service:region:account-id:resource-type/resource-id. For example, arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name. Valid values for resource-type are: transcription-job, medical-transcription-job, vocabulary, medical-vocabulary, vocabulary-filter, and language-model.
        public let resourceArn: String

        @inlinable
        public init(resourceArn: String) {
            self.resourceArn = resourceArn
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.resourceArn, key: "ResourceArn")
        }

        public func validate(name: String) throws {
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, max: 1011)
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, min: 1)
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, pattern: "^arn:aws(-[^:]+)?:transcribe:[a-zA-Z0-9-]*:[0-9]{12}:[a-zA-Z-]*/[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListTagsForResourceResponse: AWSDecodableShape {
        /// The Amazon Resource Name (ARN) specified in your request.
        public let resourceArn: String?
        /// Lists all tags associated with the given transcription job, vocabulary, model, or resource.
        public let tags: [Tag]?

        @inlinable
        public init(resourceArn: String? = nil, tags: [Tag]? = nil) {
            self.resourceArn = resourceArn
            self.tags = tags
        }

        private enum CodingKeys: String, CodingKey {
            case resourceArn = "ResourceArn"
            case tags = "Tags"
        }
    }

    public struct ListTranscriptionJobsRequest: AWSEncodableShape {
        /// Returns only the transcription jobs that contain the specified string. The search is not case sensitive.
        public let jobNameContains: String?
        /// The maximum number of transcription jobs to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// If your ListTranscriptionJobs request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only transcription jobs with the specified status. Jobs are ordered by creation date, with the newest job first. If you do not include Status, all transcription jobs are returned.
        public let status: TranscriptionJobStatus?

        @inlinable
        public init(jobNameContains: String? = nil, maxResults: Int? = nil, nextToken: String? = nil, status: TranscriptionJobStatus? = nil) {
            self.jobNameContains = jobNameContains
            self.maxResults = maxResults
            self.nextToken = nextToken
            self.status = status
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.jobNameContains, key: "JobNameContains")
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.status, key: "Status")
        }

        public func validate(name: String) throws {
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, max: 200)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, min: 1)
            try self.validate(self.jobNameContains, name: "jobNameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListTranscriptionJobsResponse: AWSDecodableShape {
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Lists all transcription jobs that have the status specified in your request. Jobs are ordered by creation date, with the newest job first.
        public let status: TranscriptionJobStatus?
        /// Provides a summary of information about each result.
        public let transcriptionJobSummaries: [TranscriptionJobSummary]?

        @inlinable
        public init(nextToken: String? = nil, status: TranscriptionJobStatus? = nil, transcriptionJobSummaries: [TranscriptionJobSummary]? = nil) {
            self.nextToken = nextToken
            self.status = status
            self.transcriptionJobSummaries = transcriptionJobSummaries
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "NextToken"
            case status = "Status"
            case transcriptionJobSummaries = "TranscriptionJobSummaries"
        }
    }

    public struct ListVocabulariesRequest: AWSEncodableShape {
        /// The maximum number of custom vocabularies to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// Returns only the custom vocabularies that contain the specified string. The search is not case sensitive.
        public let nameContains: String?
        /// If your ListVocabularies request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Returns only custom vocabularies with the specified state. Vocabularies are ordered by creation date, with the newest vocabulary first. If you do not include StateEquals, all custom medical vocabularies are returned.
        public let stateEquals: VocabularyState?

        @inlinable
        public init(maxResults: Int? = nil, nameContains: String? = nil, nextToken: String? = nil, stateEquals: VocabularyState? = nil) {
            self.maxResults = maxResults
            self.nameContains = nameContains
            self.nextToken = nextToken
            self.stateEquals = stateEquals
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nameContains, key: "NameContains")
            request.encodeQuery(self.nextToken, key: "NextToken")
            request.encodeQuery(self.stateEquals, key: "StateEquals")
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, max: 200)
            try self.validate(self.nameContains, name: "nameContains", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListVocabulariesResponse: AWSDecodableShape {
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Lists all custom vocabularies that have the status specified in your request. Vocabularies are ordered by creation date, with the newest vocabulary first.
        public let status: VocabularyState?
        /// Provides information about the custom vocabularies that match the criteria specified in your request.
        public let vocabularies: [VocabularyInfo]?

        @inlinable
        public init(nextToken: String? = nil, status: VocabularyState? = nil, vocabularies: [VocabularyInfo]? = nil) {
            self.nextToken = nextToken
            self.status = status
            self.vocabularies = vocabularies
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "NextToken"
            case status = "Status"
            case vocabularies = "Vocabularies"
        }
    }

    public struct ListVocabularyFiltersRequest: AWSEncodableShape {
        /// The maximum number of custom vocabulary filters to return in each page of results. If there are fewer results than the value that you specify, only the actual results are returned. If you do not specify a value, a default of 5 is used.
        public let maxResults: Int?
        /// Returns only the custom vocabulary filters that contain the specified string. The search is not case sensitive.
        public let nameContains: String?
        /// If your ListVocabularyFilters request returns more results than can be displayed, NextToken is displayed in the response with an associated string. To get the next page of results, copy this string and repeat your request, including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?

        @inlinable
        public init(maxResults: Int? = nil, nameContains: String? = nil, nextToken: String? = nil) {
            self.maxResults = maxResults
            self.nameContains = nameContains
            self.nextToken = nextToken
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodeQuery(self.maxResults, key: "MaxResults")
            request.encodeQuery(self.nameContains, key: "NameContains")
            request.encodeQuery(self.nextToken, key: "NextToken")
        }

        public func validate(name: String) throws {
            try self.validate(self.maxResults, name: "maxResults", parent: name, max: 100)
            try self.validate(self.maxResults, name: "maxResults", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, max: 200)
            try self.validate(self.nameContains, name: "nameContains", parent: name, min: 1)
            try self.validate(self.nameContains, name: "nameContains", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.nextToken, name: "nextToken", parent: name, max: 8192)
            try self.validate(self.nextToken, name: "nextToken", parent: name, pattern: "^.+$")
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct ListVocabularyFiltersResponse: AWSDecodableShape {
        /// If NextToken is present in your response, it indicates that not all results are displayed. To view the next set of results, copy the string associated with the NextToken parameter in your results output, then run your request again including NextToken with the value of the copied string. Repeat as needed to view all your results.
        public let nextToken: String?
        /// Provides information about the custom vocabulary filters that match the criteria specified in your request.
        public let vocabularyFilters: [VocabularyFilterInfo]?

        @inlinable
        public init(nextToken: String? = nil, vocabularyFilters: [VocabularyFilterInfo]? = nil) {
            self.nextToken = nextToken
            self.vocabularyFilters = vocabularyFilters
        }

        private enum CodingKeys: String, CodingKey {
            case nextToken = "NextToken"
            case vocabularyFilters = "VocabularyFilters"
        }
    }

    public struct Media: AWSEncodableShape & AWSDecodableShape {
        /// The Amazon S3 location of the media file you want to transcribe. For example:    s3://DOC-EXAMPLE-BUCKET/my-media-file.flac     s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac    Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.
        public let mediaFileUri: String?
        /// The Amazon S3 location of the media file you want to redact. For example:    s3://DOC-EXAMPLE-BUCKET/my-media-file.flac     s3://DOC-EXAMPLE-BUCKET/media-files/my-media-file.flac    Note that the Amazon S3 bucket that contains your input media must be located in the same Amazon Web Services Region where you're making your transcription request.   RedactedMediaFileUri produces a redacted audio file in addition to a  redacted transcript. It is only supported for Call Analytics (StartCallAnalyticsJob) transcription requests.
        public let redactedMediaFileUri: String?

        @inlinable
        public init(mediaFileUri: String? = nil, redactedMediaFileUri: String? = nil) {
            self.mediaFileUri = mediaFileUri
            self.redactedMediaFileUri = redactedMediaFileUri
        }

        public func validate(name: String) throws {
            try self.validate(self.mediaFileUri, name: "mediaFileUri", parent: name, max: 2000)
            try self.validate(self.mediaFileUri, name: "mediaFileUri", parent: name, min: 1)
            try self.validate(self.mediaFileUri, name: "mediaFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.redactedMediaFileUri, name: "redactedMediaFileUri", parent: name, max: 2000)
            try self.validate(self.redactedMediaFileUri, name: "redactedMediaFileUri", parent: name, min: 1)
            try self.validate(self.redactedMediaFileUri, name: "redactedMediaFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
        }

        private enum CodingKeys: String, CodingKey {
            case mediaFileUri = "MediaFileUri"
            case redactedMediaFileUri = "RedactedMediaFileUri"
        }
    }

    public struct MedicalScribeChannelDefinition: AWSEncodableShape & AWSDecodableShape {
        /// Specify the audio channel you want to define.
        public let channelId: Int
        /// Specify the participant that you want to flag.  The options are CLINICIAN and PATIENT
        public let participantRole: MedicalScribeParticipantRole

        @inlinable
        public init(channelId: Int, participantRole: MedicalScribeParticipantRole) {
            self.channelId = channelId
            self.participantRole = participantRole
        }

        public func validate(name: String) throws {
            try self.validate(self.channelId, name: "channelId", parent: name, max: 1)
            try self.validate(self.channelId, name: "channelId", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case channelId = "ChannelId"
            case participantRole = "ParticipantRole"
        }
    }

    public struct MedicalScribeContext: AWSEncodableShape {
        /// Contains patient-specific information.
        public let patientContext: MedicalScribePatientContext?

        @inlinable
        public init(patientContext: MedicalScribePatientContext? = nil) {
            self.patientContext = patientContext
        }

        private enum CodingKeys: String, CodingKey {
            case patientContext = "PatientContext"
        }
    }

    public struct MedicalScribeJob: AWSDecodableShape {
        /// Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set ChannelId of the first ChannelDefinition  in the list to 0 (to indicate the first channel) and ParticipantRole to CLINICIAN (to indicate that it's the clinician speaking). Then you would set the ChannelId of the second ChannelDefinition in the list to 1 (to indicate the second channel) and ParticipantRole to PATIENT (to indicate that it's the patient speaking).
        public let channelDefinitions: [MedicalScribeChannelDefinition]?
        /// The date and time the specified Medical Scribe job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// The date and time the specified Medical Scribe job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files,  write to the output bucket, and use your KMS key if supplied.   If the role that you specify doesn’t have the appropriate permissions your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String?
        /// If MedicalScribeJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code used to create your Medical Scribe job. US English (en-US) is the only supported language for Medical Scribe jobs.
        public let languageCode: MedicalScribeLanguageCode?
        public let media: Media?
        /// Indicates whether the MedicalScribeContext object was provided when the Medical Scribe job was started.
        public let medicalScribeContextProvided: Bool?
        /// The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let medicalScribeJobName: String?
        /// Provides the status of the specified Medical Scribe job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in MedicalScribeOutput If the status is FAILED, FailureReason provides details on why your Medical Scribe job failed.
        public let medicalScribeJobStatus: MedicalScribeJobStatus?
        /// The location of the output of your Medical Scribe job.  ClinicalDocumentUri holds the Amazon S3 URI for the Clinical Document  and TranscriptFileUri holds the Amazon S3 URI for the Transcript.
        public let medicalScribeOutput: MedicalScribeOutput?
        /// Makes it possible to control how your Medical Scribe job is processed using a MedicalScribeSettings object. Specify ChannelIdentification if  ChannelDefinitions are set. Enabled ShowSpeakerLabels if ChannelIdentification  and ChannelDefinitions are not set. One and only one of ChannelIdentification and ShowSpeakerLabels must be set. If ShowSpeakerLabels is set, MaxSpeakerLabels must also be set. Use Settings to specify a vocabulary or vocabulary filter or both using VocabularyName, VocabularyFilterName.  VocabularyFilterMethod must be specified if VocabularyFilterName is set.
        public let settings: MedicalScribeSettings?
        /// The date and time your Medical Scribe job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?
        /// Adds one or more custom tags, each in the form of a key:value pair, to the Medical Scribe job. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?

        @inlinable
        public init(channelDefinitions: [MedicalScribeChannelDefinition]? = nil, completionTime: Date? = nil, creationTime: Date? = nil, dataAccessRoleArn: String? = nil, failureReason: String? = nil, languageCode: MedicalScribeLanguageCode? = nil, media: Media? = nil, medicalScribeContextProvided: Bool? = nil, medicalScribeJobName: String? = nil, medicalScribeJobStatus: MedicalScribeJobStatus? = nil, medicalScribeOutput: MedicalScribeOutput? = nil, settings: MedicalScribeSettings? = nil, startTime: Date? = nil, tags: [Tag]? = nil) {
            self.channelDefinitions = channelDefinitions
            self.completionTime = completionTime
            self.creationTime = creationTime
            self.dataAccessRoleArn = dataAccessRoleArn
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.media = media
            self.medicalScribeContextProvided = medicalScribeContextProvided
            self.medicalScribeJobName = medicalScribeJobName
            self.medicalScribeJobStatus = medicalScribeJobStatus
            self.medicalScribeOutput = medicalScribeOutput
            self.settings = settings
            self.startTime = startTime
            self.tags = tags
        }

        private enum CodingKeys: String, CodingKey {
            case channelDefinitions = "ChannelDefinitions"
            case completionTime = "CompletionTime"
            case creationTime = "CreationTime"
            case dataAccessRoleArn = "DataAccessRoleArn"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case media = "Media"
            case medicalScribeContextProvided = "MedicalScribeContextProvided"
            case medicalScribeJobName = "MedicalScribeJobName"
            case medicalScribeJobStatus = "MedicalScribeJobStatus"
            case medicalScribeOutput = "MedicalScribeOutput"
            case settings = "Settings"
            case startTime = "StartTime"
            case tags = "Tags"
        }
    }

    public struct MedicalScribeJobSummary: AWSDecodableShape {
        /// The date and time the specified Medical Scribe job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that finished processing at 12:32 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// The date and time the specified Medical Scribe job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// If MedicalScribeJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code used to create your Medical Scribe job. US English (en-US) is the only supported language for Medical Scribe jobs.
        public let languageCode: MedicalScribeLanguageCode?
        /// The name of the Medical Scribe job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let medicalScribeJobName: String?
        /// Provides the status of the specified Medical Scribe job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in MedicalScribeOutput If the status is FAILED, FailureReason provides details on why your Medical Scribe job failed.
        public let medicalScribeJobStatus: MedicalScribeJobStatus?
        /// The date and time your Medical Scribe job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a Medical Scribe job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?

        @inlinable
        public init(completionTime: Date? = nil, creationTime: Date? = nil, failureReason: String? = nil, languageCode: MedicalScribeLanguageCode? = nil, medicalScribeJobName: String? = nil, medicalScribeJobStatus: MedicalScribeJobStatus? = nil, startTime: Date? = nil) {
            self.completionTime = completionTime
            self.creationTime = creationTime
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.medicalScribeJobName = medicalScribeJobName
            self.medicalScribeJobStatus = medicalScribeJobStatus
            self.startTime = startTime
        }

        private enum CodingKeys: String, CodingKey {
            case completionTime = "CompletionTime"
            case creationTime = "CreationTime"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case medicalScribeJobName = "MedicalScribeJobName"
            case medicalScribeJobStatus = "MedicalScribeJobStatus"
            case startTime = "StartTime"
        }
    }

    public struct MedicalScribeOutput: AWSDecodableShape {
        /// Holds the Amazon S3 URI for the Clinical Document.
        public let clinicalDocumentUri: String
        /// Holds the Amazon S3 URI for the Transcript.
        public let transcriptFileUri: String

        @inlinable
        public init(clinicalDocumentUri: String, transcriptFileUri: String) {
            self.clinicalDocumentUri = clinicalDocumentUri
            self.transcriptFileUri = transcriptFileUri
        }

        private enum CodingKeys: String, CodingKey {
            case clinicalDocumentUri = "ClinicalDocumentUri"
            case transcriptFileUri = "TranscriptFileUri"
        }
    }

    public struct MedicalScribePatientContext: AWSEncodableShape {
        /// The patient's preferred pronouns that the user wants to provide as a context for clinical note generation.
        public let pronouns: Pronouns?

        @inlinable
        public init(pronouns: Pronouns? = nil) {
            self.pronouns = pronouns
        }

        private enum CodingKeys: String, CodingKey {
            case pronouns = "Pronouns"
        }
    }

    public struct MedicalScribeSettings: AWSEncodableShape & AWSDecodableShape {
        /// Enables channel identification in multi-channel audio. Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript. For more information, see Transcribing multi-channel audio.
        public let channelIdentification: Bool?
        /// Specify settings for the clinical note generation.
        public let clinicalNoteGenerationSettings: ClinicalNoteGenerationSettings?
        /// Specify the maximum number of speakers you want to partition in your media. Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
        public let maxSpeakerLabels: Int?
        /// Enables speaker partitioning (diarization) in your Medical Scribe output. Speaker partitioning labels the speech from individual speakers in your media file. If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels. For more information, see Partitioning speakers (diarization).
        public let showSpeakerLabels: Bool?
        /// Specify how you want your custom vocabulary filter applied to your transcript. To replace words with ***, choose mask. To delete words, choose remove. To flag words without changing them, choose tag.
        public let vocabularyFilterMethod: VocabularyFilterMethod?
        /// The name of the custom vocabulary filter you want to include in your Medical Scribe request. Custom vocabulary filter names are case sensitive. Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.
        public let vocabularyFilterName: String?
        /// The name of the custom vocabulary you want to include in your Medical Scribe request. Custom vocabulary names are case sensitive.
        public let vocabularyName: String?

        @inlinable
        public init(channelIdentification: Bool? = nil, clinicalNoteGenerationSettings: ClinicalNoteGenerationSettings? = nil, maxSpeakerLabels: Int? = nil, showSpeakerLabels: Bool? = nil, vocabularyFilterMethod: VocabularyFilterMethod? = nil, vocabularyFilterName: String? = nil, vocabularyName: String? = nil) {
            self.channelIdentification = channelIdentification
            self.clinicalNoteGenerationSettings = clinicalNoteGenerationSettings
            self.maxSpeakerLabels = maxSpeakerLabels
            self.showSpeakerLabels = showSpeakerLabels
            self.vocabularyFilterMethod = vocabularyFilterMethod
            self.vocabularyFilterName = vocabularyFilterName
            self.vocabularyName = vocabularyName
        }

        public func validate(name: String) throws {
            try self.validate(self.maxSpeakerLabels, name: "maxSpeakerLabels", parent: name, max: 30)
            try self.validate(self.maxSpeakerLabels, name: "maxSpeakerLabels", parent: name, min: 2)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case channelIdentification = "ChannelIdentification"
            case clinicalNoteGenerationSettings = "ClinicalNoteGenerationSettings"
            case maxSpeakerLabels = "MaxSpeakerLabels"
            case showSpeakerLabels = "ShowSpeakerLabels"
            case vocabularyFilterMethod = "VocabularyFilterMethod"
            case vocabularyFilterName = "VocabularyFilterName"
            case vocabularyName = "VocabularyName"
        }
    }

    public struct MedicalTranscript: AWSDecodableShape {
        /// The Amazon S3 location of your transcript. You can use this URI to access or download your transcript. Note that this is the Amazon S3 location you specified in your request using the  OutputBucketName parameter.
        public let transcriptFileUri: String?

        @inlinable
        public init(transcriptFileUri: String? = nil) {
            self.transcriptFileUri = transcriptFileUri
        }

        private enum CodingKeys: String, CodingKey {
            case transcriptFileUri = "TranscriptFileUri"
        }
    }

    public struct MedicalTranscriptionJob: AWSDecodableShape {
        /// The date and time the specified medical transcription job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// Indicates whether content identification was enabled for your transcription request.
        public let contentIdentificationType: MedicalContentIdentificationType?
        /// The date and time the specified medical transcription job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job request failed. The FailureReason field contains one of the following values:    Unsupported media format. The media format specified in MediaFormat isn't valid. Refer to refer to the MediaFormat parameter for a list of supported formats.    The media format provided does not match the detected media format. The media format specified in MediaFormat doesn't match the format of the input file. Check the media format of your media file and correct the specified value.    Invalid sample rate for audio file. The sample rate specified in MediaSampleRateHertz isn't valid. The sample rate must be between 16,000 and 48,000 hertz.    The sample rate provided does not match the detected sample rate. The sample rate specified in MediaSampleRateHertz doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.    Invalid file size: file size too large. The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service  quotas.    Invalid number of channels: number of channels too large. Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service  quotas.
        public let failureReason: String?
        /// The language code used to create your medical transcription job. US English (en-US) is the only supported language for medical transcriptions.
        public let languageCode: LanguageCode?
        public let media: Media?
        /// The format of the input media file.
        public let mediaFormat: MediaFormat?
        /// The sample rate, in hertz, of the audio track in your input media file.
        public let mediaSampleRateHertz: Int?
        /// The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let medicalTranscriptionJobName: String?
        /// Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
        public let settings: MedicalTranscriptionSetting?
        /// Describes the medical specialty represented in your media.
        public let specialty: Specialty?
        /// The date and time the specified medical transcription job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?
        /// The tags, each in the form of a key:value pair, assigned to the specified medical transcription job.
        public let tags: [Tag]?
        /// Provides you with the Amazon S3 URI you can use to access your transcript.
        public let transcript: MedicalTranscript?
        /// Provides the status of the specified medical transcription job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri. If the status is FAILED, FailureReason provides details on why your transcription job failed.
        public let transcriptionJobStatus: TranscriptionJobStatus?
        /// Indicates whether the input media is a dictation or a conversation, as specified in the StartMedicalTranscriptionJob request.
        public let type: `Type`?

        @inlinable
        public init(completionTime: Date? = nil, contentIdentificationType: MedicalContentIdentificationType? = nil, creationTime: Date? = nil, failureReason: String? = nil, languageCode: LanguageCode? = nil, media: Media? = nil, mediaFormat: MediaFormat? = nil, mediaSampleRateHertz: Int? = nil, medicalTranscriptionJobName: String? = nil, settings: MedicalTranscriptionSetting? = nil, specialty: Specialty? = nil, startTime: Date? = nil, tags: [Tag]? = nil, transcript: MedicalTranscript? = nil, transcriptionJobStatus: TranscriptionJobStatus? = nil, type: `Type`? = nil) {
            self.completionTime = completionTime
            self.contentIdentificationType = contentIdentificationType
            self.creationTime = creationTime
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.media = media
            self.mediaFormat = mediaFormat
            self.mediaSampleRateHertz = mediaSampleRateHertz
            self.medicalTranscriptionJobName = medicalTranscriptionJobName
            self.settings = settings
            self.specialty = specialty
            self.startTime = startTime
            self.tags = tags
            self.transcript = transcript
            self.transcriptionJobStatus = transcriptionJobStatus
            self.type = type
        }

        private enum CodingKeys: String, CodingKey {
            case completionTime = "CompletionTime"
            case contentIdentificationType = "ContentIdentificationType"
            case creationTime = "CreationTime"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case media = "Media"
            case mediaFormat = "MediaFormat"
            case mediaSampleRateHertz = "MediaSampleRateHertz"
            case medicalTranscriptionJobName = "MedicalTranscriptionJobName"
            case settings = "Settings"
            case specialty = "Specialty"
            case startTime = "StartTime"
            case tags = "Tags"
            case transcript = "Transcript"
            case transcriptionJobStatus = "TranscriptionJobStatus"
            case type = "Type"
        }
    }

    public struct MedicalTranscriptionJobSummary: AWSDecodableShape {
        /// The date and time the specified medical transcription job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription.
        public let contentIdentificationType: MedicalContentIdentificationType?
        /// The date and time the specified medical transcription job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.
        public let failureReason: String?
        /// The language code used to create your medical transcription. US English (en-US) is the only supported language for medical transcriptions.
        public let languageCode: LanguageCode?
        /// The name of the medical transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let medicalTranscriptionJobName: String?
        /// Indicates where the specified medical transcription output is stored. If the value is CUSTOMER_BUCKET, the location is the Amazon S3 bucket you specified using the OutputBucketName parameter in your  request. If you also included OutputKey in your request, your output is located in the path you specified in your request. If the value is SERVICE_BUCKET, the location is a service-managed Amazon S3 bucket. To access a transcript stored in a service-managed bucket, use the URI shown in the TranscriptFileUri field.
        public let outputLocationType: OutputLocationType?
        /// Provides the medical specialty represented in your media.
        public let specialty: Specialty?
        /// The date and time your medical transcription job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?
        /// Provides the status of your medical transcription job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri. If the status is FAILED, FailureReason provides details on why your transcription job failed.
        public let transcriptionJobStatus: TranscriptionJobStatus?
        /// Indicates whether the input media is a dictation or a conversation, as specified in the StartMedicalTranscriptionJob request.
        public let type: `Type`?

        @inlinable
        public init(completionTime: Date? = nil, contentIdentificationType: MedicalContentIdentificationType? = nil, creationTime: Date? = nil, failureReason: String? = nil, languageCode: LanguageCode? = nil, medicalTranscriptionJobName: String? = nil, outputLocationType: OutputLocationType? = nil, specialty: Specialty? = nil, startTime: Date? = nil, transcriptionJobStatus: TranscriptionJobStatus? = nil, type: `Type`? = nil) {
            self.completionTime = completionTime
            self.contentIdentificationType = contentIdentificationType
            self.creationTime = creationTime
            self.failureReason = failureReason
            self.languageCode = languageCode
            self.medicalTranscriptionJobName = medicalTranscriptionJobName
            self.outputLocationType = outputLocationType
            self.specialty = specialty
            self.startTime = startTime
            self.transcriptionJobStatus = transcriptionJobStatus
            self.type = type
        }

        private enum CodingKeys: String, CodingKey {
            case completionTime = "CompletionTime"
            case contentIdentificationType = "ContentIdentificationType"
            case creationTime = "CreationTime"
            case failureReason = "FailureReason"
            case languageCode = "LanguageCode"
            case medicalTranscriptionJobName = "MedicalTranscriptionJobName"
            case outputLocationType = "OutputLocationType"
            case specialty = "Specialty"
            case startTime = "StartTime"
            case transcriptionJobStatus = "TranscriptionJobStatus"
            case type = "Type"
        }
    }

    public struct MedicalTranscriptionSetting: AWSEncodableShape & AWSDecodableShape {
        /// Enables channel identification in multi-channel audio. Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript. If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel. For more information, see Transcribing multi-channel audio.
        public let channelIdentification: Bool?
        /// Indicate the maximum number of alternative transcriptions you want Amazon Transcribe Medical to include in your transcript. If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe Medical, only the actual number of alternative transcriptions are included. If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true. For more information, see Alternative transcriptions.
        public let maxAlternatives: Int?
        /// Specify the maximum number of speakers you want to partition in your media. Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
        public let maxSpeakerLabels: Int?
        /// To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request. If you include ShowAlternatives, you must also include MaxAlternatives, which is the maximum number of alternative transcriptions you want Amazon Transcribe Medical to generate. For more information, see Alternative transcriptions.
        public let showAlternatives: Bool?
        /// Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file. If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels. For more information, see Partitioning speakers (diarization).
        public let showSpeakerLabels: Bool?
        /// The name of the custom vocabulary you want to use when processing your medical transcription job. Custom vocabulary names are case sensitive. The language of the specified custom vocabulary must match the language code that you specify in your transcription request. If the languages do not match, the custom vocabulary isn't applied. There are no errors or warnings associated with a language mismatch. US English (en-US) is the only valid language for Amazon Transcribe Medical.
        public let vocabularyName: String?

        @inlinable
        public init(channelIdentification: Bool? = nil, maxAlternatives: Int? = nil, maxSpeakerLabels: Int? = nil, showAlternatives: Bool? = nil, showSpeakerLabels: Bool? = nil, vocabularyName: String? = nil) {
            self.channelIdentification = channelIdentification
            self.maxAlternatives = maxAlternatives
            self.maxSpeakerLabels = maxSpeakerLabels
            self.showAlternatives = showAlternatives
            self.showSpeakerLabels = showSpeakerLabels
            self.vocabularyName = vocabularyName
        }

        public func validate(name: String) throws {
            try self.validate(self.maxAlternatives, name: "maxAlternatives", parent: name, max: 10)
            try self.validate(self.maxAlternatives, name: "maxAlternatives", parent: name, min: 2)
            try self.validate(self.maxSpeakerLabels, name: "maxSpeakerLabels", parent: name, max: 30)
            try self.validate(self.maxSpeakerLabels, name: "maxSpeakerLabels", parent: name, min: 2)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case channelIdentification = "ChannelIdentification"
            case maxAlternatives = "MaxAlternatives"
            case maxSpeakerLabels = "MaxSpeakerLabels"
            case showAlternatives = "ShowAlternatives"
            case showSpeakerLabels = "ShowSpeakerLabels"
            case vocabularyName = "VocabularyName"
        }
    }

    public struct ModelSettings: AWSEncodableShape & AWSDecodableShape {
        /// The name of the custom language model you want to use when processing your transcription job. Note that custom language model names are case sensitive. The language of the specified custom language model must match the language code that you specify in your transcription request. If the languages do not match, the custom language model isn't applied. There are no errors or warnings associated with a language mismatch.
        public let languageModelName: String?

        @inlinable
        public init(languageModelName: String? = nil) {
            self.languageModelName = languageModelName
        }

        public func validate(name: String) throws {
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, max: 200)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, min: 1)
            try self.validate(self.languageModelName, name: "languageModelName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case languageModelName = "LanguageModelName"
        }
    }

    public struct NonTalkTimeFilter: AWSEncodableShape & AWSDecodableShape {
        /// Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for a period of silence. See  for more detail.
        public let absoluteTimeRange: AbsoluteTimeRange?
        /// Set to TRUE to flag periods of speech. Set to FALSE to flag periods of silence
        public let negate: Bool?
        /// Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for a period of silence. See  for more detail.
        public let relativeTimeRange: RelativeTimeRange?
        /// Specify the duration, in milliseconds, of the period of silence that you want to flag. For example, you can flag a silent period that lasts 30,000 milliseconds.
        public let threshold: Int64?

        @inlinable
        public init(absoluteTimeRange: AbsoluteTimeRange? = nil, negate: Bool? = nil, relativeTimeRange: RelativeTimeRange? = nil, threshold: Int64? = nil) {
            self.absoluteTimeRange = absoluteTimeRange
            self.negate = negate
            self.relativeTimeRange = relativeTimeRange
            self.threshold = threshold
        }

        public func validate(name: String) throws {
            try self.absoluteTimeRange?.validate(name: "\(name).absoluteTimeRange")
            try self.relativeTimeRange?.validate(name: "\(name).relativeTimeRange")
            try self.validate(self.threshold, name: "threshold", parent: name, max: 14400000)
            try self.validate(self.threshold, name: "threshold", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case absoluteTimeRange = "AbsoluteTimeRange"
            case negate = "Negate"
            case relativeTimeRange = "RelativeTimeRange"
            case threshold = "Threshold"
        }
    }

    public struct RelativeTimeRange: AWSEncodableShape & AWSDecodableShape {
        /// The time, in percentage, when Amazon Transcribe stops searching for the specified criteria in your media file. If you include EndPercentage in your request, you must also include StartPercentage.
        public let endPercentage: Int?
        /// The time, in percentage, from the start of your media file until the specified value.  Amazon Transcribe searches for your specified criteria in this time segment.
        public let first: Int?
        /// The time, in percentage, from the specified value until the end of your media file. Amazon Transcribe searches for your specified criteria in this time segment.
        public let last: Int?
        /// The time, in percentage, when Amazon Transcribe starts searching for the specified criteria in your media file. If you include StartPercentage in your request, you must also include EndPercentage.
        public let startPercentage: Int?

        @inlinable
        public init(endPercentage: Int? = nil, first: Int? = nil, last: Int? = nil, startPercentage: Int? = nil) {
            self.endPercentage = endPercentage
            self.first = first
            self.last = last
            self.startPercentage = startPercentage
        }

        public func validate(name: String) throws {
            try self.validate(self.endPercentage, name: "endPercentage", parent: name, max: 100)
            try self.validate(self.endPercentage, name: "endPercentage", parent: name, min: 0)
            try self.validate(self.first, name: "first", parent: name, max: 100)
            try self.validate(self.first, name: "first", parent: name, min: 0)
            try self.validate(self.last, name: "last", parent: name, max: 100)
            try self.validate(self.last, name: "last", parent: name, min: 0)
            try self.validate(self.startPercentage, name: "startPercentage", parent: name, max: 100)
            try self.validate(self.startPercentage, name: "startPercentage", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case endPercentage = "EndPercentage"
            case first = "First"
            case last = "Last"
            case startPercentage = "StartPercentage"
        }
    }

    public struct SentimentFilter: AWSEncodableShape & AWSDecodableShape {
        /// Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified sentiments. See  for more detail.
        public let absoluteTimeRange: AbsoluteTimeRange?
        /// Set to TRUE to flag the sentiments that you didn't include in your request. Set to FALSE to flag the sentiments that you specified in your request.
        public let negate: Bool?
        /// Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
        public let participantRole: ParticipantRole?
        /// Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified sentiments. See  for more detail.
        public let relativeTimeRange: RelativeTimeRange?
        /// Specify the sentiments that you want to flag.
        public let sentiments: [SentimentValue]

        @inlinable
        public init(absoluteTimeRange: AbsoluteTimeRange? = nil, negate: Bool? = nil, participantRole: ParticipantRole? = nil, relativeTimeRange: RelativeTimeRange? = nil, sentiments: [SentimentValue]) {
            self.absoluteTimeRange = absoluteTimeRange
            self.negate = negate
            self.participantRole = participantRole
            self.relativeTimeRange = relativeTimeRange
            self.sentiments = sentiments
        }

        public func validate(name: String) throws {
            try self.absoluteTimeRange?.validate(name: "\(name).absoluteTimeRange")
            try self.relativeTimeRange?.validate(name: "\(name).relativeTimeRange")
            try self.validate(self.sentiments, name: "sentiments", parent: name, max: 1)
            try self.validate(self.sentiments, name: "sentiments", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case absoluteTimeRange = "AbsoluteTimeRange"
            case negate = "Negate"
            case participantRole = "ParticipantRole"
            case relativeTimeRange = "RelativeTimeRange"
            case sentiments = "Sentiments"
        }
    }

    public struct Settings: AWSEncodableShape & AWSDecodableShape {
        /// Enables channel identification in multi-channel audio. Channel identification transcribes the audio on each channel independently, then appends the output for each channel into one transcript. For more information, see Transcribing multi-channel audio.
        public let channelIdentification: Bool?
        /// Indicate the maximum number of alternative transcriptions you want Amazon Transcribe to include in your transcript. If you select a number greater than the number of alternative transcriptions generated by Amazon Transcribe, only the actual number of alternative transcriptions are included. If you include MaxAlternatives in your request, you must also include ShowAlternatives with a value of true. For more information, see Alternative transcriptions.
        public let maxAlternatives: Int?
        /// Specify the maximum number of speakers you want to partition in your media. Note that if your media contains more speakers than the specified number, multiple speakers are treated as a single speaker. If you specify the MaxSpeakerLabels field, you must set the ShowSpeakerLabels field to true.
        public let maxSpeakerLabels: Int?
        /// To include alternative transcriptions within your transcription output, include ShowAlternatives in your transcription request. If you have multi-channel audio and do not enable channel identification, your audio is transcribed in a continuous manner and your transcript does not separate the speech by channel. If you include ShowAlternatives, you must also include MaxAlternatives, which is the maximum number of alternative transcriptions you want Amazon Transcribe to generate. For more information, see Alternative transcriptions.
        public let showAlternatives: Bool?
        /// Enables speaker partitioning (diarization) in your transcription output. Speaker partitioning labels the speech from individual speakers in your media file. If you enable ShowSpeakerLabels in your request, you must also include MaxSpeakerLabels. For more information, see Partitioning speakers (diarization).
        public let showSpeakerLabels: Bool?
        /// Specify how you want your custom vocabulary filter applied to your transcript. To replace words with ***, choose mask. To delete words, choose remove. To flag words without changing them, choose tag.
        public let vocabularyFilterMethod: VocabularyFilterMethod?
        /// The name of the custom vocabulary filter you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. Note that if you include VocabularyFilterName in your request, you must also include VocabularyFilterMethod.
        public let vocabularyFilterName: String?
        /// The name of the custom vocabulary you want to use in your transcription job request. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
        public let vocabularyName: String?

        @inlinable
        public init(channelIdentification: Bool? = nil, maxAlternatives: Int? = nil, maxSpeakerLabels: Int? = nil, showAlternatives: Bool? = nil, showSpeakerLabels: Bool? = nil, vocabularyFilterMethod: VocabularyFilterMethod? = nil, vocabularyFilterName: String? = nil, vocabularyName: String? = nil) {
            self.channelIdentification = channelIdentification
            self.maxAlternatives = maxAlternatives
            self.maxSpeakerLabels = maxSpeakerLabels
            self.showAlternatives = showAlternatives
            self.showSpeakerLabels = showSpeakerLabels
            self.vocabularyFilterMethod = vocabularyFilterMethod
            self.vocabularyFilterName = vocabularyFilterName
            self.vocabularyName = vocabularyName
        }

        public func validate(name: String) throws {
            try self.validate(self.maxAlternatives, name: "maxAlternatives", parent: name, max: 10)
            try self.validate(self.maxAlternatives, name: "maxAlternatives", parent: name, min: 2)
            try self.validate(self.maxSpeakerLabels, name: "maxSpeakerLabels", parent: name, max: 30)
            try self.validate(self.maxSpeakerLabels, name: "maxSpeakerLabels", parent: name, min: 2)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case channelIdentification = "ChannelIdentification"
            case maxAlternatives = "MaxAlternatives"
            case maxSpeakerLabels = "MaxSpeakerLabels"
            case showAlternatives = "ShowAlternatives"
            case showSpeakerLabels = "ShowSpeakerLabels"
            case vocabularyFilterMethod = "VocabularyFilterMethod"
            case vocabularyFilterName = "VocabularyFilterName"
            case vocabularyName = "VocabularyName"
        }
    }

    public struct StartCallAnalyticsJobRequest: AWSEncodableShape {
        /// A unique name, chosen by you, for your Call Analytics job. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.
        public let callAnalyticsJobName: String
        /// Makes it possible to specify which speaker is on which channel. For example, if your agent is the first participant to speak, you would set ChannelId to 0 (to indicate the first channel) and ParticipantRole to AGENT (to indicate that it's the agent speaking).
        public let channelDefinitions: [ChannelDefinition]?
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files. If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String?
        /// Describes the Amazon S3 location of the media file you want to use in your Call Analytics request.
        public let media: Media
        /// The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your Call Analytics output. KMS key ARNs have the format arn:partition:kms:region:account:key/key-id. For example: 	arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab. For more information, see  KMS key ARNs. If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3). Note that the role making the  request and the role specified in
        /// 		the DataAccessRoleArn request parameter (if present) must have permission to use the
        /// 		specified KMS key.
        public let outputEncryptionKMSKeyId: String?
        /// The Amazon S3 location where you want your Call Analytics transcription output stored. You can use any of the following formats to specify the output location:   s3://DOC-EXAMPLE-BUCKET   s3://DOC-EXAMPLE-BUCKET/my-output-folder/   s3://DOC-EXAMPLE-BUCKET/my-output-folder/my-call-analytics-job.json   Unless you specify a file name (option 3), the name of your output file has a default value that matches the name you specified for your transcription job using the CallAnalyticsJobName parameter. You can specify a KMS key to encrypt your output using the OutputEncryptionKMSKeyId parameter. If you do not specify a KMS key, Amazon Transcribe uses the default Amazon S3 key for server-side encryption. If you do not specify OutputLocation, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.
        public let outputLocation: String?
        /// Specify additional optional settings in your  request, including content redaction; allows you to apply custom language models, vocabulary filters, and custom vocabularies to your Call Analytics job.
        public let settings: CallAnalyticsJobSettings?
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new call analytics job at the time you start this new job. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?

        @inlinable
        public init(callAnalyticsJobName: String, channelDefinitions: [ChannelDefinition]? = nil, dataAccessRoleArn: String? = nil, media: Media, outputEncryptionKMSKeyId: String? = nil, outputLocation: String? = nil, settings: CallAnalyticsJobSettings? = nil, tags: [Tag]? = nil) {
            self.callAnalyticsJobName = callAnalyticsJobName
            self.channelDefinitions = channelDefinitions
            self.dataAccessRoleArn = dataAccessRoleArn
            self.media = media
            self.outputEncryptionKMSKeyId = outputEncryptionKMSKeyId
            self.outputLocation = outputLocation
            self.settings = settings
            self.tags = tags
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.callAnalyticsJobName, key: "CallAnalyticsJobName")
            try container.encodeIfPresent(self.channelDefinitions, forKey: .channelDefinitions)
            try container.encodeIfPresent(self.dataAccessRoleArn, forKey: .dataAccessRoleArn)
            try container.encode(self.media, forKey: .media)
            try container.encodeIfPresent(self.outputEncryptionKMSKeyId, forKey: .outputEncryptionKMSKeyId)
            try container.encodeIfPresent(self.outputLocation, forKey: .outputLocation)
            try container.encodeIfPresent(self.settings, forKey: .settings)
            try container.encodeIfPresent(self.tags, forKey: .tags)
        }

        public func validate(name: String) throws {
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, max: 200)
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, min: 1)
            try self.validate(self.callAnalyticsJobName, name: "callAnalyticsJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.channelDefinitions?.forEach {
                try $0.validate(name: "\(name).channelDefinitions[]")
            }
            try self.validate(self.channelDefinitions, name: "channelDefinitions", parent: name, max: 2)
            try self.validate(self.channelDefinitions, name: "channelDefinitions", parent: name, min: 2)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.media.validate(name: "\(name).media")
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, max: 2048)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, min: 1)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, pattern: "^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$")
            try self.validate(self.outputLocation, name: "outputLocation", parent: name, max: 2000)
            try self.validate(self.outputLocation, name: "outputLocation", parent: name, min: 1)
            try self.validate(self.outputLocation, name: "outputLocation", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.settings?.validate(name: "\(name).settings")
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case channelDefinitions = "ChannelDefinitions"
            case dataAccessRoleArn = "DataAccessRoleArn"
            case media = "Media"
            case outputEncryptionKMSKeyId = "OutputEncryptionKMSKeyId"
            case outputLocation = "OutputLocation"
            case settings = "Settings"
            case tags = "Tags"
        }
    }

    public struct StartCallAnalyticsJobResponse: AWSDecodableShape {
        /// Provides detailed information about the current Call Analytics job, including job status and, if applicable, failure reason.
        public let callAnalyticsJob: CallAnalyticsJob?

        @inlinable
        public init(callAnalyticsJob: CallAnalyticsJob? = nil) {
            self.callAnalyticsJob = callAnalyticsJob
        }

        private enum CodingKeys: String, CodingKey {
            case callAnalyticsJob = "CallAnalyticsJob"
        }
    }

    public struct StartMedicalScribeJobRequest: AWSEncodableShape {
        /// Makes it possible to specify which speaker is on which channel. For example, if the clinician is the first participant to speak, you would set ChannelId of the first ChannelDefinition  in the list to 0 (to indicate the first channel) and ParticipantRole to CLINICIAN (to indicate that it's the clinician speaking). Then you would set the ChannelId of the second ChannelDefinition in the list to 1 (to indicate the second channel) and ParticipantRole to PATIENT (to indicate that it's the patient speaking).
        public let channelDefinitions: [MedicalScribeChannelDefinition]?
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files,  write to the output bucket, and use your KMS key if supplied.   If the role that you specify doesn’t have the appropriate permissions your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String
        /// A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
        public let kmsEncryptionContext: [String: String]?
        public let media: Media
        /// The MedicalScribeContext object that contains contextual information which is used during clinical note generation to add relevant context to the note.
        public let medicalScribeContext: MedicalScribeContext?
        /// A unique name, chosen by you, for your Medical Scribe job. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.
        public let medicalScribeJobName: String
        /// The name of the Amazon S3 bucket where you want your Medical Scribe output stored. Do not include the S3:// prefix of the specified bucket. Note that the role specified in the DataAccessRoleArn request parameter  must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.
        public let outputBucketName: String
        /// The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your Medical Scribe output. KMS key ARNs have the format arn:partition:kms:region:account:key/key-id. For example:
        /// 		arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab. 	For more information, see  KMS key ARNs. If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3). Note that the role making the  request and the role specified in
        /// 		the DataAccessRoleArn request parameter (if present)
        /// 		must have permission to use the specified KMS key.
        public let outputEncryptionKMSKeyId: String?
        /// Makes it possible to control how your Medical Scribe job is processed using a MedicalScribeSettings object. Specify ChannelIdentification if  ChannelDefinitions are set. Enabled ShowSpeakerLabels if ChannelIdentification  and ChannelDefinitions are not set. One and only one of ChannelIdentification and ShowSpeakerLabels must be set. If ShowSpeakerLabels is set, MaxSpeakerLabels must also be set. Use Settings to specify a vocabulary or vocabulary filter or both using VocabularyName, VocabularyFilterName.  VocabularyFilterMethod must be specified if VocabularyFilterName is set.
        public let settings: MedicalScribeSettings
        /// Adds one or more custom tags, each in the form of a key:value pair, to the Medical Scribe job. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?

        @inlinable
        public init(channelDefinitions: [MedicalScribeChannelDefinition]? = nil, dataAccessRoleArn: String, kmsEncryptionContext: [String: String]? = nil, media: Media, medicalScribeContext: MedicalScribeContext? = nil, medicalScribeJobName: String, outputBucketName: String, outputEncryptionKMSKeyId: String? = nil, settings: MedicalScribeSettings, tags: [Tag]? = nil) {
            self.channelDefinitions = channelDefinitions
            self.dataAccessRoleArn = dataAccessRoleArn
            self.kmsEncryptionContext = kmsEncryptionContext
            self.media = media
            self.medicalScribeContext = medicalScribeContext
            self.medicalScribeJobName = medicalScribeJobName
            self.outputBucketName = outputBucketName
            self.outputEncryptionKMSKeyId = outputEncryptionKMSKeyId
            self.settings = settings
            self.tags = tags
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.channelDefinitions, forKey: .channelDefinitions)
            try container.encode(self.dataAccessRoleArn, forKey: .dataAccessRoleArn)
            try container.encodeIfPresent(self.kmsEncryptionContext, forKey: .kmsEncryptionContext)
            try container.encode(self.media, forKey: .media)
            try container.encodeIfPresent(self.medicalScribeContext, forKey: .medicalScribeContext)
            request.encodePath(self.medicalScribeJobName, key: "MedicalScribeJobName")
            try container.encode(self.outputBucketName, forKey: .outputBucketName)
            try container.encodeIfPresent(self.outputEncryptionKMSKeyId, forKey: .outputEncryptionKMSKeyId)
            try container.encode(self.settings, forKey: .settings)
            try container.encodeIfPresent(self.tags, forKey: .tags)
        }

        public func validate(name: String) throws {
            try self.channelDefinitions?.forEach {
                try $0.validate(name: "\(name).channelDefinitions[]")
            }
            try self.validate(self.channelDefinitions, name: "channelDefinitions", parent: name, max: 2)
            try self.validate(self.channelDefinitions, name: "channelDefinitions", parent: name, min: 2)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.kmsEncryptionContext?.forEach {
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, max: 2000)
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, min: 1)
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, pattern: "\\S")
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, max: 2000)
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, min: 1)
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, pattern: "\\S")
            }
            try self.validate(self.kmsEncryptionContext, name: "kmsEncryptionContext", parent: name, max: 10)
            try self.validate(self.kmsEncryptionContext, name: "kmsEncryptionContext", parent: name, min: 1)
            try self.media.validate(name: "\(name).media")
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, max: 200)
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, min: 1)
            try self.validate(self.medicalScribeJobName, name: "medicalScribeJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.outputBucketName, name: "outputBucketName", parent: name, max: 64)
            try self.validate(self.outputBucketName, name: "outputBucketName", parent: name, pattern: "^[a-z0-9][\\.\\-a-z0-9]{1,61}[a-z0-9]$")
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, max: 2048)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, min: 1)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, pattern: "^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$")
            try self.settings.validate(name: "\(name).settings")
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case channelDefinitions = "ChannelDefinitions"
            case dataAccessRoleArn = "DataAccessRoleArn"
            case kmsEncryptionContext = "KMSEncryptionContext"
            case media = "Media"
            case medicalScribeContext = "MedicalScribeContext"
            case outputBucketName = "OutputBucketName"
            case outputEncryptionKMSKeyId = "OutputEncryptionKMSKeyId"
            case settings = "Settings"
            case tags = "Tags"
        }
    }

    public struct StartMedicalScribeJobResponse: AWSDecodableShape {
        /// Provides detailed information about the current Medical Scribe job, including job status and, if applicable, failure reason.
        public let medicalScribeJob: MedicalScribeJob?

        @inlinable
        public init(medicalScribeJob: MedicalScribeJob? = nil) {
            self.medicalScribeJob = medicalScribeJob
        }

        private enum CodingKeys: String, CodingKey {
            case medicalScribeJob = "MedicalScribeJob"
        }
    }

    public struct StartMedicalTranscriptionJobRequest: AWSEncodableShape {
        /// Labels all personal health information (PHI) identified in your transcript. For more information, see Identifying personal health information (PHI) in a transcription.
        public let contentIdentificationType: MedicalContentIdentificationType?
        /// A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
        public let kmsEncryptionContext: [String: String]?
        /// The language code that represents the language spoken in the input media file. US English (en-US) is the only valid value for medical transcription jobs. Any other value you enter for language code results in a BadRequestException error.
        public let languageCode: LanguageCode
        public let media: Media
        /// Specify the format of your input media file.
        public let mediaFormat: MediaFormat?
        /// The sample rate, in hertz, of the audio track in your input media file. If you do not specify the media sample rate, Amazon Transcribe Medical determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe Medical; if there's a mismatch between the value that you specify and the value detected, your job fails. Therefore, in most cases, it's advised to omit MediaSampleRateHertz and let Amazon Transcribe Medical determine the sample rate.
        public let mediaSampleRateHertz: Int?
        /// A unique name, chosen by you, for your medical transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the OutputKey parameter. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.
        public let medicalTranscriptionJobName: String
        /// The name of the Amazon S3 bucket where you want your medical transcription output stored. Do not include the S3:// prefix of the specified bucket. If you want your output to go to a sub-folder of this bucket, specify it using the OutputKey parameter; OutputBucketName only accepts the name of a bucket. For example, if you want your output stored in S3://DOC-EXAMPLE-BUCKET, set OutputBucketName to DOC-EXAMPLE-BUCKET. However, if you want your output stored in S3://DOC-EXAMPLE-BUCKET/test-files/, set OutputBucketName to DOC-EXAMPLE-BUCKET and OutputKey to test-files/. Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles.
        public let outputBucketName: String
        /// The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your medical transcription output. KMS key ARNs have the format arn:partition:kms:region:account:key/key-id. For example: 	arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab. For more information, see  KMS key ARNs. If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3). Note that the role making the  request and the role specified  		in the DataAccessRoleArn request parameter (if present) must have permission to use the
        /// 		specified KMS key.
        public let outputEncryptionKMSKeyId: String?
        /// Use in combination with OutputBucketName to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your medical transcription job (MedicalTranscriptionJobName). Here are some examples of how you can use OutputKey:   If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json.   If you specify 'my-first-transcription' as the MedicalTranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json.   If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'test-files/my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json.   If you specify 'my-first-transcription' as the MedicalTranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'test-files/my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json.   If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
        public let outputKey: String?
        /// Specify additional optional settings in your  request, including channel identification, alternative transcriptions, and speaker partitioning. You can use that to apply custom vocabularies to your transcription job.
        public let settings: MedicalTranscriptionSetting?
        /// Specify the predominant medical specialty represented in your media. For batch transcriptions, PRIMARYCARE is the only valid value. If you require additional specialties, refer to .
        public let specialty: Specialty
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new medical transcription job at the time you start this new job. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?
        /// Specify whether your input media contains only one person (DICTATION) or contains a conversation between two people (CONVERSATION). For example, DICTATION could be used for a medical professional wanting to transcribe voice memos; CONVERSATION could be used for transcribing the doctor-patient dialogue during the patient's office visit.
        public let type: `Type`

        @inlinable
        public init(contentIdentificationType: MedicalContentIdentificationType? = nil, kmsEncryptionContext: [String: String]? = nil, languageCode: LanguageCode, media: Media, mediaFormat: MediaFormat? = nil, mediaSampleRateHertz: Int? = nil, medicalTranscriptionJobName: String, outputBucketName: String, outputEncryptionKMSKeyId: String? = nil, outputKey: String? = nil, settings: MedicalTranscriptionSetting? = nil, specialty: Specialty, tags: [Tag]? = nil, type: `Type`) {
            self.contentIdentificationType = contentIdentificationType
            self.kmsEncryptionContext = kmsEncryptionContext
            self.languageCode = languageCode
            self.media = media
            self.mediaFormat = mediaFormat
            self.mediaSampleRateHertz = mediaSampleRateHertz
            self.medicalTranscriptionJobName = medicalTranscriptionJobName
            self.outputBucketName = outputBucketName
            self.outputEncryptionKMSKeyId = outputEncryptionKMSKeyId
            self.outputKey = outputKey
            self.settings = settings
            self.specialty = specialty
            self.tags = tags
            self.type = type
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.contentIdentificationType, forKey: .contentIdentificationType)
            try container.encodeIfPresent(self.kmsEncryptionContext, forKey: .kmsEncryptionContext)
            try container.encode(self.languageCode, forKey: .languageCode)
            try container.encode(self.media, forKey: .media)
            try container.encodeIfPresent(self.mediaFormat, forKey: .mediaFormat)
            try container.encodeIfPresent(self.mediaSampleRateHertz, forKey: .mediaSampleRateHertz)
            request.encodePath(self.medicalTranscriptionJobName, key: "MedicalTranscriptionJobName")
            try container.encode(self.outputBucketName, forKey: .outputBucketName)
            try container.encodeIfPresent(self.outputEncryptionKMSKeyId, forKey: .outputEncryptionKMSKeyId)
            try container.encodeIfPresent(self.outputKey, forKey: .outputKey)
            try container.encodeIfPresent(self.settings, forKey: .settings)
            try container.encode(self.specialty, forKey: .specialty)
            try container.encodeIfPresent(self.tags, forKey: .tags)
            try container.encode(self.type, forKey: .type)
        }

        public func validate(name: String) throws {
            try self.kmsEncryptionContext?.forEach {
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, max: 2000)
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, min: 1)
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, pattern: "\\S")
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, max: 2000)
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, min: 1)
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, pattern: "\\S")
            }
            try self.validate(self.kmsEncryptionContext, name: "kmsEncryptionContext", parent: name, max: 10)
            try self.validate(self.kmsEncryptionContext, name: "kmsEncryptionContext", parent: name, min: 1)
            try self.media.validate(name: "\(name).media")
            try self.validate(self.mediaSampleRateHertz, name: "mediaSampleRateHertz", parent: name, max: 48000)
            try self.validate(self.mediaSampleRateHertz, name: "mediaSampleRateHertz", parent: name, min: 16000)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, max: 200)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, min: 1)
            try self.validate(self.medicalTranscriptionJobName, name: "medicalTranscriptionJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.validate(self.outputBucketName, name: "outputBucketName", parent: name, max: 64)
            try self.validate(self.outputBucketName, name: "outputBucketName", parent: name, pattern: "^[a-z0-9][\\.\\-a-z0-9]{1,61}[a-z0-9]$")
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, max: 2048)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, min: 1)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, pattern: "^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$")
            try self.validate(self.outputKey, name: "outputKey", parent: name, max: 1024)
            try self.validate(self.outputKey, name: "outputKey", parent: name, min: 1)
            try self.validate(self.outputKey, name: "outputKey", parent: name, pattern: "^[a-zA-Z0-9-_.!*'()/]{1,1024}$")
            try self.settings?.validate(name: "\(name).settings")
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case contentIdentificationType = "ContentIdentificationType"
            case kmsEncryptionContext = "KMSEncryptionContext"
            case languageCode = "LanguageCode"
            case media = "Media"
            case mediaFormat = "MediaFormat"
            case mediaSampleRateHertz = "MediaSampleRateHertz"
            case outputBucketName = "OutputBucketName"
            case outputEncryptionKMSKeyId = "OutputEncryptionKMSKeyId"
            case outputKey = "OutputKey"
            case settings = "Settings"
            case specialty = "Specialty"
            case tags = "Tags"
            case type = "Type"
        }
    }

    public struct StartMedicalTranscriptionJobResponse: AWSDecodableShape {
        /// Provides detailed information about the current medical transcription job, including job status and, if applicable, failure reason.
        public let medicalTranscriptionJob: MedicalTranscriptionJob?

        @inlinable
        public init(medicalTranscriptionJob: MedicalTranscriptionJob? = nil) {
            self.medicalTranscriptionJob = medicalTranscriptionJob
        }

        private enum CodingKeys: String, CodingKey {
            case medicalTranscriptionJob = "MedicalTranscriptionJob"
        }
    }

    public struct StartTranscriptionJobRequest: AWSEncodableShape {
        /// Makes it possible to redact or flag specified personally identifiable information (PII) in  your transcript. If you use ContentRedaction, you must also include the  sub-parameters: RedactionOutput and RedactionType. You can  optionally include PiiEntityTypes to choose which types of PII you want to redact. If you do not include PiiEntityTypes in your request, all PII is redacted.
        public let contentRedaction: ContentRedaction?
        /// Enables automatic language identification in your transcription job request. Use this parameter if your media file contains only one language. If your media contains multiple languages, use IdentifyMultipleLanguages instead. If you include IdentifyLanguage, you can optionally include a list of language codes, using LanguageOptions, that you think may be present in your media file. Including LanguageOptions restricts IdentifyLanguage to only the language options that you specify, which can improve transcription accuracy. If you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter to your automatic language identification request, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName). If you include LanguageIdSettings, also include LanguageOptions. Note that you must include one of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.
        public let identifyLanguage: Bool?
        /// Enables automatic multi-language identification in your transcription job request. Use this parameter if your media file contains more than one language. If your media contains only one language, use IdentifyLanguage instead. If you include IdentifyMultipleLanguages, you can optionally include a list of language codes, using LanguageOptions, that you think may be present in your media file. Including LanguageOptions restricts IdentifyLanguage to only the language options that you specify, which can improve transcription accuracy. If you want to apply a custom vocabulary or a custom vocabulary filter to your automatic language identification request, include LanguageIdSettings with the relevant sub-parameters (VocabularyName and VocabularyFilterName). If you include LanguageIdSettings, also include LanguageOptions. Note that you must include one of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails.
        public let identifyMultipleLanguages: Bool?
        /// Makes it possible to control how your transcription job is processed. Currently, the only JobExecutionSettings modification you can choose is enabling job queueing using the AllowDeferredExecution sub-parameter. If you include JobExecutionSettings in your request, you must also include the sub-parameters: AllowDeferredExecution and DataAccessRoleArn.
        public let jobExecutionSettings: JobExecutionSettings?
        /// A map of plain text, non-secret key:value pairs, known as encryption context pairs, that provide an added layer of security for your data. For more information, see KMS encryption context and Asymmetric keys in KMS.
        public let kmsEncryptionContext: [String: String]?
        /// The language code that represents the language spoken in the input media file. If you're unsure of the language spoken in your media file, consider using IdentifyLanguage or IdentifyMultipleLanguages to enable automatic language identification. Note that you must include one of LanguageCode, IdentifyLanguage, or IdentifyMultipleLanguages in your request. If you include more than one of these parameters, your transcription job fails. For a list of supported languages and their associated language codes, refer to the Supported languages table.  To transcribe speech in Modern Standard Arabic (ar-SA) in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), Canada (Calgary, ca-west-1) and Africa (Cape Town, af-south-1), your media file must be encoded at a sample rate of 16,000 Hz or higher.
        public let languageCode: LanguageCode?
        /// If using automatic language identification in your request and you want to apply a custom language model, a custom vocabulary, or a custom vocabulary filter, include LanguageIdSettings with the relevant sub-parameters (VocabularyName, LanguageModelName, and VocabularyFilterName). Note that multi-language identification (IdentifyMultipleLanguages) doesn't support custom language models.  LanguageIdSettings supports two to five language codes. Each language code you include can have an associated custom language model, custom vocabulary, and custom vocabulary filter. The language codes that you specify must match the languages of the associated custom language models, custom vocabularies, and custom vocabulary filters. It's recommended that you include LanguageOptions when using LanguageIdSettings to ensure that the correct language dialect is identified. For example, if you specify a custom vocabulary that is in en-US but Amazon Transcribe determines that the language spoken in your media is en-AU, your custom vocabulary is not applied to your transcription. If you include LanguageOptions and include en-US as the only English language dialect, your custom vocabulary is applied to your transcription. If you want to include a custom language model with your request but do not want to use automatic language identification, use instead the  parameter with the LanguageModelName sub-parameter. If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use instead the  parameter with the VocabularyName or VocabularyFilterName (or both) sub-parameter.
        public let languageIdSettings: [LanguageCode: LanguageIdSettings]?
        /// You can specify two or more language codes that represent the languages you think may be present in your media. Including more than five is not recommended. If you're unsure what languages are present, do not include this parameter. If you include LanguageOptions in your request, you must also include IdentifyLanguage. For more information, refer to Supported languages. To transcribe speech in Modern Standard Arabic (ar-SA)in Amazon Web Services GovCloud (US) (US-West, us-gov-west-1), Amazon Web Services GovCloud (US) (US-East, us-gov-east-1), in Canada (Calgary) ca-west-1 and Africa (Cape Town) af-south-1, your media file must be encoded at a sample rate of 16,000 Hz or higher.
        public let languageOptions: [LanguageCode]?
        /// Describes the Amazon S3 location of the media file you want to use in your request.
        public let media: Media
        /// Specify the format of your input media file.
        public let mediaFormat: MediaFormat?
        /// The sample rate, in hertz, of the audio track in your input media file. If you do not specify the media sample rate, Amazon Transcribe determines it for you. If you specify the sample rate, it must match the rate detected by Amazon Transcribe. If there's a mismatch between the value that you specify and the value detected, your job fails. In most cases, you can omit MediaSampleRateHertz and let Amazon Transcribe determine the sample rate.
        public let mediaSampleRateHertz: Int?
        /// Specify the custom language model you want to include with your transcription job. If you include ModelSettings in your request, you must include the LanguageModelName sub-parameter. For more information, see Custom language models.
        public let modelSettings: ModelSettings?
        /// The name of the Amazon S3 bucket where you want your transcription output stored. Do not include the S3:// prefix of the specified bucket. If you want your output to go to a sub-folder of this bucket, specify it using the OutputKey parameter; OutputBucketName only accepts the name of a bucket. For example, if you want your output stored in S3://DOC-EXAMPLE-BUCKET, set OutputBucketName to DOC-EXAMPLE-BUCKET. However, if you want your output stored in S3://DOC-EXAMPLE-BUCKET/test-files/, set OutputBucketName to DOC-EXAMPLE-BUCKET and OutputKey to test-files/. Note that Amazon Transcribe must have permission to use the specified location. You can change Amazon S3 permissions using the Amazon Web Services Management Console. See also Permissions Required for IAM User Roles. If you do not specify OutputBucketName, your transcript is placed in a service-managed Amazon S3 bucket and you are provided with a URI to access your transcript.
        public let outputBucketName: String?
        /// The Amazon Resource Name (ARN) of a KMS key that you want to use to encrypt your transcription output. KMS key ARNs have the format arn:partition:kms:region:account:key/key-id. For example: 	arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab. For more information, see  KMS key ARNs. If you do not specify an encryption key, your output is encrypted with the default Amazon S3 key (SSE-S3). Note that the role making the  request and the role specified in the
        /// 		DataAccessRoleArn request parameter (if present) must have permission to use the specified
        /// 		KMS key.
        public let outputEncryptionKMSKeyId: String?
        /// Use in combination with OutputBucketName to specify the output location of your transcript and, optionally, a unique name for your output file. The default name for your transcription output is the same as the name you specified for your transcription job (TranscriptionJobName). Here are some examples of how you can use OutputKey:   If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript.json.   If you specify 'my-first-transcription' as the TranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/my-transcript/my-first-transcription.json.   If you specify 'DOC-EXAMPLE-BUCKET' as the OutputBucketName and 'test-files/my-transcript.json' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript.json.   If you specify 'my-first-transcription' as the TranscriptionJobName, 'DOC-EXAMPLE-BUCKET' as the OutputBucketName, and 'test-files/my-transcript' as the OutputKey, your transcription output path is s3://DOC-EXAMPLE-BUCKET/test-files/my-transcript/my-first-transcription.json.   If you specify the name of an Amazon S3 bucket sub-folder that doesn't exist, one is created for you.
        public let outputKey: String?
        /// Specify additional optional settings in your   request, including channel identification, alternative transcriptions, speaker partitioning. You can use that to apply custom vocabularies and vocabulary filters. If you want to include a custom vocabulary or a custom vocabulary filter (or both) with your request but do not want to use automatic language identification, use Settings with the VocabularyName or VocabularyFilterName (or both) sub-parameter. If you're using automatic language identification with your request and want to include a custom language model, a custom vocabulary, or a custom vocabulary filter, use instead the  parameter with the LanguageModelName, VocabularyName or VocabularyFilterName sub-parameters.
        public let settings: Settings?
        /// Produces subtitle files for your input media. You can specify WebVTT (*.vtt) and SubRip (*.srt) formats.
        public let subtitles: Subtitles?
        /// Adds one or more custom tags, each in the form of a key:value pair, to a new transcription job at the time you start this new job. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]?
        /// Enables toxic speech detection in your transcript. If you include  ToxicityDetection in your request, you must also include ToxicityCategories. For information on the types of toxic speech Amazon Transcribe can detect, see  Detecting toxic speech.
        public let toxicityDetection: [ToxicityDetectionSettings]?
        /// A unique name, chosen by you, for your transcription job. The name that you specify is also used as the default name of your transcription output file. If you want to specify a different name for your transcription output, use the OutputKey parameter. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account. If you try to create a new job with the same name as an existing job, you get a ConflictException error.
        public let transcriptionJobName: String

        @inlinable
        public init(contentRedaction: ContentRedaction? = nil, identifyLanguage: Bool? = nil, identifyMultipleLanguages: Bool? = nil, jobExecutionSettings: JobExecutionSettings? = nil, kmsEncryptionContext: [String: String]? = nil, languageCode: LanguageCode? = nil, languageIdSettings: [LanguageCode: LanguageIdSettings]? = nil, languageOptions: [LanguageCode]? = nil, media: Media, mediaFormat: MediaFormat? = nil, mediaSampleRateHertz: Int? = nil, modelSettings: ModelSettings? = nil, outputBucketName: String? = nil, outputEncryptionKMSKeyId: String? = nil, outputKey: String? = nil, settings: Settings? = nil, subtitles: Subtitles? = nil, tags: [Tag]? = nil, toxicityDetection: [ToxicityDetectionSettings]? = nil, transcriptionJobName: String) {
            self.contentRedaction = contentRedaction
            self.identifyLanguage = identifyLanguage
            self.identifyMultipleLanguages = identifyMultipleLanguages
            self.jobExecutionSettings = jobExecutionSettings
            self.kmsEncryptionContext = kmsEncryptionContext
            self.languageCode = languageCode
            self.languageIdSettings = languageIdSettings
            self.languageOptions = languageOptions
            self.media = media
            self.mediaFormat = mediaFormat
            self.mediaSampleRateHertz = mediaSampleRateHertz
            self.modelSettings = modelSettings
            self.outputBucketName = outputBucketName
            self.outputEncryptionKMSKeyId = outputEncryptionKMSKeyId
            self.outputKey = outputKey
            self.settings = settings
            self.subtitles = subtitles
            self.tags = tags
            self.toxicityDetection = toxicityDetection
            self.transcriptionJobName = transcriptionJobName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.contentRedaction, forKey: .contentRedaction)
            try container.encodeIfPresent(self.identifyLanguage, forKey: .identifyLanguage)
            try container.encodeIfPresent(self.identifyMultipleLanguages, forKey: .identifyMultipleLanguages)
            try container.encodeIfPresent(self.jobExecutionSettings, forKey: .jobExecutionSettings)
            try container.encodeIfPresent(self.kmsEncryptionContext, forKey: .kmsEncryptionContext)
            try container.encodeIfPresent(self.languageCode, forKey: .languageCode)
            try container.encodeIfPresent(self.languageIdSettings, forKey: .languageIdSettings)
            try container.encodeIfPresent(self.languageOptions, forKey: .languageOptions)
            try container.encode(self.media, forKey: .media)
            try container.encodeIfPresent(self.mediaFormat, forKey: .mediaFormat)
            try container.encodeIfPresent(self.mediaSampleRateHertz, forKey: .mediaSampleRateHertz)
            try container.encodeIfPresent(self.modelSettings, forKey: .modelSettings)
            try container.encodeIfPresent(self.outputBucketName, forKey: .outputBucketName)
            try container.encodeIfPresent(self.outputEncryptionKMSKeyId, forKey: .outputEncryptionKMSKeyId)
            try container.encodeIfPresent(self.outputKey, forKey: .outputKey)
            try container.encodeIfPresent(self.settings, forKey: .settings)
            try container.encodeIfPresent(self.subtitles, forKey: .subtitles)
            try container.encodeIfPresent(self.tags, forKey: .tags)
            try container.encodeIfPresent(self.toxicityDetection, forKey: .toxicityDetection)
            request.encodePath(self.transcriptionJobName, key: "TranscriptionJobName")
        }

        public func validate(name: String) throws {
            try self.contentRedaction?.validate(name: "\(name).contentRedaction")
            try self.jobExecutionSettings?.validate(name: "\(name).jobExecutionSettings")
            try self.kmsEncryptionContext?.forEach {
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, max: 2000)
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, min: 1)
                try validate($0.key, name: "kmsEncryptionContext.key", parent: name, pattern: "\\S")
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, max: 2000)
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, min: 1)
                try validate($0.value, name: "kmsEncryptionContext[\"\($0.key)\"]", parent: name, pattern: "\\S")
            }
            try self.validate(self.kmsEncryptionContext, name: "kmsEncryptionContext", parent: name, max: 10)
            try self.validate(self.kmsEncryptionContext, name: "kmsEncryptionContext", parent: name, min: 1)
            try self.languageIdSettings?.forEach {
                try $0.value.validate(name: "\(name).languageIdSettings[\"\($0.key)\"]")
            }
            try self.validate(self.languageIdSettings, name: "languageIdSettings", parent: name, max: 5)
            try self.validate(self.languageIdSettings, name: "languageIdSettings", parent: name, min: 1)
            try self.validate(self.languageOptions, name: "languageOptions", parent: name, min: 1)
            try self.media.validate(name: "\(name).media")
            try self.validate(self.mediaSampleRateHertz, name: "mediaSampleRateHertz", parent: name, max: 48000)
            try self.validate(self.mediaSampleRateHertz, name: "mediaSampleRateHertz", parent: name, min: 8000)
            try self.modelSettings?.validate(name: "\(name).modelSettings")
            try self.validate(self.outputBucketName, name: "outputBucketName", parent: name, max: 64)
            try self.validate(self.outputBucketName, name: "outputBucketName", parent: name, pattern: "^[a-z0-9][\\.\\-a-z0-9]{1,61}[a-z0-9]$")
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, max: 2048)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, min: 1)
            try self.validate(self.outputEncryptionKMSKeyId, name: "outputEncryptionKMSKeyId", parent: name, pattern: "^[A-Za-z0-9][A-Za-z0-9:_/+=,@.-]{0,2048}$")
            try self.validate(self.outputKey, name: "outputKey", parent: name, max: 1024)
            try self.validate(self.outputKey, name: "outputKey", parent: name, min: 1)
            try self.validate(self.outputKey, name: "outputKey", parent: name, pattern: "^[a-zA-Z0-9-_.!*'()/]{1,1024}$")
            try self.settings?.validate(name: "\(name).settings")
            try self.subtitles?.validate(name: "\(name).subtitles")
            try self.tags?.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
            try self.toxicityDetection?.forEach {
                try $0.validate(name: "\(name).toxicityDetection[]")
            }
            try self.validate(self.toxicityDetection, name: "toxicityDetection", parent: name, max: 1)
            try self.validate(self.toxicityDetection, name: "toxicityDetection", parent: name, min: 1)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, max: 200)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, min: 1)
            try self.validate(self.transcriptionJobName, name: "transcriptionJobName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case contentRedaction = "ContentRedaction"
            case identifyLanguage = "IdentifyLanguage"
            case identifyMultipleLanguages = "IdentifyMultipleLanguages"
            case jobExecutionSettings = "JobExecutionSettings"
            case kmsEncryptionContext = "KMSEncryptionContext"
            case languageCode = "LanguageCode"
            case languageIdSettings = "LanguageIdSettings"
            case languageOptions = "LanguageOptions"
            case media = "Media"
            case mediaFormat = "MediaFormat"
            case mediaSampleRateHertz = "MediaSampleRateHertz"
            case modelSettings = "ModelSettings"
            case outputBucketName = "OutputBucketName"
            case outputEncryptionKMSKeyId = "OutputEncryptionKMSKeyId"
            case outputKey = "OutputKey"
            case settings = "Settings"
            case subtitles = "Subtitles"
            case tags = "Tags"
            case toxicityDetection = "ToxicityDetection"
        }
    }

    public struct StartTranscriptionJobResponse: AWSDecodableShape {
        /// Provides detailed information about the current transcription job, including job status and, if applicable, failure reason.
        public let transcriptionJob: TranscriptionJob?

        @inlinable
        public init(transcriptionJob: TranscriptionJob? = nil) {
            self.transcriptionJob = transcriptionJob
        }

        private enum CodingKeys: String, CodingKey {
            case transcriptionJob = "TranscriptionJob"
        }
    }

    public struct Subtitles: AWSEncodableShape {
        /// Specify the output format for your subtitle file; if you select both WebVTT (vtt) and SubRip (srt) formats, two output files are generated.
        public let formats: [SubtitleFormat]?
        /// Specify the starting value that is assigned to the first subtitle segment. The default start index for Amazon Transcribe is 0, which differs from the more widely used standard of 1. If you're uncertain which value to use, we recommend choosing 1, as this may improve compatibility with other services.
        public let outputStartIndex: Int?

        @inlinable
        public init(formats: [SubtitleFormat]? = nil, outputStartIndex: Int? = nil) {
            self.formats = formats
            self.outputStartIndex = outputStartIndex
        }

        public func validate(name: String) throws {
            try self.validate(self.outputStartIndex, name: "outputStartIndex", parent: name, max: 1)
            try self.validate(self.outputStartIndex, name: "outputStartIndex", parent: name, min: 0)
        }

        private enum CodingKeys: String, CodingKey {
            case formats = "Formats"
            case outputStartIndex = "OutputStartIndex"
        }
    }

    public struct SubtitlesOutput: AWSDecodableShape {
        /// Provides the format of your subtitle files. If your request included both WebVTT (vtt) and SubRip (srt) formats, both formats are shown.
        public let formats: [SubtitleFormat]?
        /// Provides the start index value for your subtitle files. If you did not specify a value in your request, the default value of 0 is used.
        public let outputStartIndex: Int?
        /// The Amazon S3 location of your transcript. You can use this URI to access or download your subtitle file. Your subtitle file is stored in the same location as your transcript. If you specified both WebVTT and SubRip subtitle formats, two URIs are provided. If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request. If you didn't include OutputBucketName in your transcription job request, your subtitle file is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your subtitle file.  Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.
        public let subtitleFileUris: [String]?

        @inlinable
        public init(formats: [SubtitleFormat]? = nil, outputStartIndex: Int? = nil, subtitleFileUris: [String]? = nil) {
            self.formats = formats
            self.outputStartIndex = outputStartIndex
            self.subtitleFileUris = subtitleFileUris
        }

        private enum CodingKeys: String, CodingKey {
            case formats = "Formats"
            case outputStartIndex = "OutputStartIndex"
            case subtitleFileUris = "SubtitleFileUris"
        }
    }

    public struct Summarization: AWSEncodableShape & AWSDecodableShape {
        /// Enables Generative call summarization in your Call Analytics request Generative call summarization provides a summary of the transcript including important
        /// 	    components discussed in the conversation. For more information, see Enabling generative call
        /// 	        summarization.
        public let generateAbstractiveSummary: Bool

        @inlinable
        public init(generateAbstractiveSummary: Bool) {
            self.generateAbstractiveSummary = generateAbstractiveSummary
        }

        private enum CodingKeys: String, CodingKey {
            case generateAbstractiveSummary = "GenerateAbstractiveSummary"
        }
    }

    public struct Tag: AWSEncodableShape & AWSDecodableShape {
        /// The first part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales, the key is 'Department'.
        public let key: String
        /// The second part of a key:value pair that forms a tag associated with a given resource. For example, in the tag Department:Sales, the value is 'Sales'. Note that you can set the value of a tag to an empty string, but you can't set the value of a tag to null. Omitting the tag value is the same as using an empty string.
        public let value: String

        @inlinable
        public init(key: String, value: String) {
            self.key = key
            self.value = value
        }

        public func validate(name: String) throws {
            try self.validate(self.key, name: "key", parent: name, max: 128)
            try self.validate(self.key, name: "key", parent: name, min: 1)
            try self.validate(self.value, name: "value", parent: name, max: 256)
        }

        private enum CodingKeys: String, CodingKey {
            case key = "Key"
            case value = "Value"
        }
    }

    public struct TagResourceRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of the resource you want to tag. ARNs have the format arn:partition:service:region:account-id:resource-type/resource-id. For example, arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name. Valid values for resource-type are: transcription-job, medical-transcription-job, vocabulary, medical-vocabulary, vocabulary-filter, and language-model.
        public let resourceArn: String
        /// Adds one or more custom tags, each in the form of a key:value pair, to the specified resource. To learn more about using tags with Amazon Transcribe, refer to Tagging resources.
        public let tags: [Tag]

        @inlinable
        public init(resourceArn: String, tags: [Tag]) {
            self.resourceArn = resourceArn
            self.tags = tags
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.resourceArn, key: "ResourceArn")
            try container.encode(self.tags, forKey: .tags)
        }

        public func validate(name: String) throws {
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, max: 1011)
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, min: 1)
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, pattern: "^arn:aws(-[^:]+)?:transcribe:[a-zA-Z0-9-]*:[0-9]{12}:[a-zA-Z-]*/[0-9a-zA-Z._-]+$")
            try self.tags.forEach {
                try $0.validate(name: "\(name).tags[]")
            }
            try self.validate(self.tags, name: "tags", parent: name, max: 200)
            try self.validate(self.tags, name: "tags", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case tags = "Tags"
        }
    }

    public struct TagResourceResponse: AWSDecodableShape {
        public init() {}
    }

    public struct ToxicityDetectionSettings: AWSEncodableShape & AWSDecodableShape {
        ///  If you include ToxicityDetection in your transcription request, you  must also include ToxicityCategories. The only accepted value for this  parameter is ALL.
        public let toxicityCategories: [ToxicityCategory]

        @inlinable
        public init(toxicityCategories: [ToxicityCategory]) {
            self.toxicityCategories = toxicityCategories
        }

        public func validate(name: String) throws {
            try self.validate(self.toxicityCategories, name: "toxicityCategories", parent: name, max: 1)
            try self.validate(self.toxicityCategories, name: "toxicityCategories", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case toxicityCategories = "ToxicityCategories"
        }
    }

    public struct Transcript: AWSDecodableShape {
        /// The Amazon S3 location of your redacted transcript. You can use this URI to access or download your transcript. If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request. If you didn't include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and RedactedTranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.  Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.
        public let redactedTranscriptFileUri: String?
        /// The Amazon S3 location of your transcript. You can use this URI to access or download your transcript. If you included OutputBucketName in your transcription job request, this is the URI of that bucket. If you also included OutputKey in your request, your output is located in the path you specified in your request. If you didn't include OutputBucketName in your transcription job request, your transcript is stored in a service-managed bucket, and TranscriptFileUri provides you with a temporary URI you can use for secure access to your transcript.  Temporary URIs for service-managed Amazon S3 buckets are only valid for 15 minutes. If you get an AccesDenied error, you can get a new temporary URI by running a GetTranscriptionJob or ListTranscriptionJob request.
        public let transcriptFileUri: String?

        @inlinable
        public init(redactedTranscriptFileUri: String? = nil, transcriptFileUri: String? = nil) {
            self.redactedTranscriptFileUri = redactedTranscriptFileUri
            self.transcriptFileUri = transcriptFileUri
        }

        private enum CodingKeys: String, CodingKey {
            case redactedTranscriptFileUri = "RedactedTranscriptFileUri"
            case transcriptFileUri = "TranscriptFileUri"
        }
    }

    public struct TranscriptFilter: AWSEncodableShape & AWSDecodableShape {
        /// Makes it possible to specify a time range (in milliseconds) in your audio, during which you want to search for the specified key words or phrases. See  for more detail.
        public let absoluteTimeRange: AbsoluteTimeRange?
        /// Set to TRUE to flag the absence of the phrase that you specified in your request. Set to FALSE to flag the presence of the phrase that you specified in your request.
        public let negate: Bool?
        /// Specify the participant that you want to flag. Omitting this parameter is equivalent to specifying both participants.
        public let participantRole: ParticipantRole?
        /// Makes it possible to specify a time range (in percentage) in your media file, during which you want to search for the specified key words or phrases. See  for more detail.
        public let relativeTimeRange: RelativeTimeRange?
        /// Specify the phrases that you want to flag.
        public let targets: [String]
        /// Flag the presence or absence of an exact match to the phrases that you specify. For example, if you specify the phrase "speak to a manager" as your Targets value, only that exact phrase is flagged. Note that semantic matching is not supported. For example, if your customer says "speak to the manager", instead of "speak to a manager", your content is not flagged.
        public let transcriptFilterType: TranscriptFilterType

        @inlinable
        public init(absoluteTimeRange: AbsoluteTimeRange? = nil, negate: Bool? = nil, participantRole: ParticipantRole? = nil, relativeTimeRange: RelativeTimeRange? = nil, targets: [String], transcriptFilterType: TranscriptFilterType) {
            self.absoluteTimeRange = absoluteTimeRange
            self.negate = negate
            self.participantRole = participantRole
            self.relativeTimeRange = relativeTimeRange
            self.targets = targets
            self.transcriptFilterType = transcriptFilterType
        }

        public func validate(name: String) throws {
            try self.absoluteTimeRange?.validate(name: "\(name).absoluteTimeRange")
            try self.relativeTimeRange?.validate(name: "\(name).relativeTimeRange")
            try self.targets.forEach {
                try validate($0, name: "targets[]", parent: name, max: 2000)
                try validate($0, name: "targets[]", parent: name, min: 1)
                try validate($0, name: "targets[]", parent: name, pattern: "\\S")
            }
            try self.validate(self.targets, name: "targets", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case absoluteTimeRange = "AbsoluteTimeRange"
            case negate = "Negate"
            case participantRole = "ParticipantRole"
            case relativeTimeRange = "RelativeTimeRange"
            case targets = "Targets"
            case transcriptFilterType = "TranscriptFilterType"
        }
    }

    public struct TranscriptionJob: AWSDecodableShape {
        /// The date and time the specified transcription job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// Indicates whether redaction was enabled in your transcript.
        public let contentRedaction: ContentRedaction?
        /// The date and time the specified transcription job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job request failed. The FailureReason field contains one of the following values:    Unsupported media format. The media format specified in MediaFormat isn't valid. Refer to refer to the MediaFormat parameter for a list of supported formats.    The media format provided does not match the detected media format. The media format specified in MediaFormat doesn't match the format of the input file. Check the media format of your media file and correct the specified value.    Invalid sample rate for audio file. The sample rate specified in MediaSampleRateHertz isn't valid. The sample rate must be between 8,000 and 48,000 hertz.    The sample rate provided does not match the detected sample rate. The sample rate specified in MediaSampleRateHertz doesn't match the sample rate detected in your input media file. Check the sample rate of your media file and correct the specified value.    Invalid file size: file size too large. The size of your media file is larger than what Amazon Transcribe can process. For more information, refer to Service  quotas.    Invalid number of channels: number of channels too large. Your audio contains more channels than Amazon Transcribe is able to process. For more information, refer to Service  quotas.
        public let failureReason: String?
        /// The confidence score associated with the language identified in your media file. Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
        public let identifiedLanguageScore: Float?
        /// Indicates whether automatic language identification was enabled (TRUE) for the specified transcription job.
        public let identifyLanguage: Bool?
        /// Indicates whether automatic multi-language identification was enabled (TRUE) for the specified transcription job.
        public let identifyMultipleLanguages: Bool?
        /// Provides information about how your transcription job was processed. This parameter shows if your request was queued and what data access role was used.
        public let jobExecutionSettings: JobExecutionSettings?
        /// The language code used to create your transcription job. This parameter is used with single-language identification. For multi-language identification requests, refer to the plural version of this parameter, LanguageCodes.
        public let languageCode: LanguageCode?
        /// The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification requests, refer to the singular version of this parameter, LanguageCode.
        public let languageCodes: [LanguageCodeItem]?
        /// Provides the name and language of all custom language models, custom vocabularies, and custom vocabulary filters that you included in your request.
        public let languageIdSettings: [LanguageCode: LanguageIdSettings]?
        /// Provides the language codes you specified in your request.
        public let languageOptions: [LanguageCode]?
        /// Provides the Amazon S3 location of the media file you used in your request.
        public let media: Media?
        /// The format of the input media file.
        public let mediaFormat: MediaFormat?
        /// The sample rate, in hertz, of the audio track in your input media file.
        public let mediaSampleRateHertz: Int?
        /// Provides information on the custom language model you included in your request.
        public let modelSettings: ModelSettings?
        /// Provides information on any additional settings that were included in your request. Additional settings include channel identification, alternative transcriptions, speaker partitioning, custom vocabularies, and custom vocabulary filters.
        public let settings: Settings?
        /// The date and time the specified transcription job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?
        /// Indicates whether subtitles were generated with your transcription.
        public let subtitles: SubtitlesOutput?
        /// The tags, each in the form of a key:value pair, assigned to the specified transcription job.
        public let tags: [Tag]?
        /// Provides information about the toxicity detection settings applied to your transcription.
        public let toxicityDetection: [ToxicityDetectionSettings]?
        /// Provides you with the Amazon S3 URI you can use to access your transcript.
        public let transcript: Transcript?
        /// The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let transcriptionJobName: String?
        /// Provides the status of the specified transcription job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.
        public let transcriptionJobStatus: TranscriptionJobStatus?

        @inlinable
        public init(completionTime: Date? = nil, contentRedaction: ContentRedaction? = nil, creationTime: Date? = nil, failureReason: String? = nil, identifiedLanguageScore: Float? = nil, identifyLanguage: Bool? = nil, identifyMultipleLanguages: Bool? = nil, jobExecutionSettings: JobExecutionSettings? = nil, languageCode: LanguageCode? = nil, languageCodes: [LanguageCodeItem]? = nil, languageIdSettings: [LanguageCode: LanguageIdSettings]? = nil, languageOptions: [LanguageCode]? = nil, media: Media? = nil, mediaFormat: MediaFormat? = nil, mediaSampleRateHertz: Int? = nil, modelSettings: ModelSettings? = nil, settings: Settings? = nil, startTime: Date? = nil, subtitles: SubtitlesOutput? = nil, tags: [Tag]? = nil, toxicityDetection: [ToxicityDetectionSettings]? = nil, transcript: Transcript? = nil, transcriptionJobName: String? = nil, transcriptionJobStatus: TranscriptionJobStatus? = nil) {
            self.completionTime = completionTime
            self.contentRedaction = contentRedaction
            self.creationTime = creationTime
            self.failureReason = failureReason
            self.identifiedLanguageScore = identifiedLanguageScore
            self.identifyLanguage = identifyLanguage
            self.identifyMultipleLanguages = identifyMultipleLanguages
            self.jobExecutionSettings = jobExecutionSettings
            self.languageCode = languageCode
            self.languageCodes = languageCodes
            self.languageIdSettings = languageIdSettings
            self.languageOptions = languageOptions
            self.media = media
            self.mediaFormat = mediaFormat
            self.mediaSampleRateHertz = mediaSampleRateHertz
            self.modelSettings = modelSettings
            self.settings = settings
            self.startTime = startTime
            self.subtitles = subtitles
            self.tags = tags
            self.toxicityDetection = toxicityDetection
            self.transcript = transcript
            self.transcriptionJobName = transcriptionJobName
            self.transcriptionJobStatus = transcriptionJobStatus
        }

        private enum CodingKeys: String, CodingKey {
            case completionTime = "CompletionTime"
            case contentRedaction = "ContentRedaction"
            case creationTime = "CreationTime"
            case failureReason = "FailureReason"
            case identifiedLanguageScore = "IdentifiedLanguageScore"
            case identifyLanguage = "IdentifyLanguage"
            case identifyMultipleLanguages = "IdentifyMultipleLanguages"
            case jobExecutionSettings = "JobExecutionSettings"
            case languageCode = "LanguageCode"
            case languageCodes = "LanguageCodes"
            case languageIdSettings = "LanguageIdSettings"
            case languageOptions = "LanguageOptions"
            case media = "Media"
            case mediaFormat = "MediaFormat"
            case mediaSampleRateHertz = "MediaSampleRateHertz"
            case modelSettings = "ModelSettings"
            case settings = "Settings"
            case startTime = "StartTime"
            case subtitles = "Subtitles"
            case tags = "Tags"
            case toxicityDetection = "ToxicityDetection"
            case transcript = "Transcript"
            case transcriptionJobName = "TranscriptionJobName"
            case transcriptionJobStatus = "TranscriptionJobStatus"
        }
    }

    public struct TranscriptionJobSummary: AWSDecodableShape {
        /// The date and time the specified transcription job finished processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:33:13.922000-07:00 represents a transcription job that started processing at 12:33 PM UTC-7 on May 4, 2022.
        public let completionTime: Date?
        /// The content redaction settings of the transcription job.
        public let contentRedaction: ContentRedaction?
        /// The date and time the specified transcription job request was made. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let creationTime: Date?
        /// If TranscriptionJobStatus is FAILED, FailureReason contains information about why the transcription job failed. See also: Common Errors.
        public let failureReason: String?
        /// The confidence score associated with the language identified in your media file. Confidence scores are values between 0 and 1; a larger value indicates a higher probability that the identified language correctly matches the language spoken in your media.
        public let identifiedLanguageScore: Float?
        /// Indicates whether automatic language identification was enabled (TRUE) for the specified transcription job.
        public let identifyLanguage: Bool?
        /// Indicates whether automatic multi-language identification was enabled (TRUE) for the specified transcription job.
        public let identifyMultipleLanguages: Bool?
        /// The language code used to create your transcription.
        public let languageCode: LanguageCode?
        /// The language codes used to create your transcription job. This parameter is used with multi-language identification. For single-language identification, the singular version of this parameter, LanguageCode, is present.
        public let languageCodes: [LanguageCodeItem]?
        public let modelSettings: ModelSettings?
        /// Indicates where the specified transcription output is stored. If the value is CUSTOMER_BUCKET, the location is the Amazon S3 bucket you specified using the OutputBucketName parameter in your  request. If you also included OutputKey in your request, your output is located in the path you specified in your request. If the value is SERVICE_BUCKET, the location is a service-managed Amazon S3 bucket. To access a transcript stored in a service-managed bucket, use the URI shown in the TranscriptFileUri or RedactedTranscriptFileUri field.
        public let outputLocationType: OutputLocationType?
        /// The date and time your transcription job began processing. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.789000-07:00 represents a transcription job that started processing at 12:32 PM UTC-7 on May 4, 2022.
        public let startTime: Date?
        /// Indicates whether toxicity detection was enabled for the specified transcription  job.
        public let toxicityDetection: [ToxicityDetectionSettings]?
        /// The name of the transcription job. Job names are case sensitive and must be unique within an Amazon Web Services account.
        public let transcriptionJobName: String?
        /// Provides the status of your transcription job. If the status is COMPLETED, the job is finished and you can find the results at the location specified in TranscriptFileUri (or RedactedTranscriptFileUri, if you requested transcript redaction). If the status is FAILED, FailureReason provides details on why your transcription job failed.
        public let transcriptionJobStatus: TranscriptionJobStatus?

        @inlinable
        public init(completionTime: Date? = nil, contentRedaction: ContentRedaction? = nil, creationTime: Date? = nil, failureReason: String? = nil, identifiedLanguageScore: Float? = nil, identifyLanguage: Bool? = nil, identifyMultipleLanguages: Bool? = nil, languageCode: LanguageCode? = nil, languageCodes: [LanguageCodeItem]? = nil, modelSettings: ModelSettings? = nil, outputLocationType: OutputLocationType? = nil, startTime: Date? = nil, toxicityDetection: [ToxicityDetectionSettings]? = nil, transcriptionJobName: String? = nil, transcriptionJobStatus: TranscriptionJobStatus? = nil) {
            self.completionTime = completionTime
            self.contentRedaction = contentRedaction
            self.creationTime = creationTime
            self.failureReason = failureReason
            self.identifiedLanguageScore = identifiedLanguageScore
            self.identifyLanguage = identifyLanguage
            self.identifyMultipleLanguages = identifyMultipleLanguages
            self.languageCode = languageCode
            self.languageCodes = languageCodes
            self.modelSettings = modelSettings
            self.outputLocationType = outputLocationType
            self.startTime = startTime
            self.toxicityDetection = toxicityDetection
            self.transcriptionJobName = transcriptionJobName
            self.transcriptionJobStatus = transcriptionJobStatus
        }

        private enum CodingKeys: String, CodingKey {
            case completionTime = "CompletionTime"
            case contentRedaction = "ContentRedaction"
            case creationTime = "CreationTime"
            case failureReason = "FailureReason"
            case identifiedLanguageScore = "IdentifiedLanguageScore"
            case identifyLanguage = "IdentifyLanguage"
            case identifyMultipleLanguages = "IdentifyMultipleLanguages"
            case languageCode = "LanguageCode"
            case languageCodes = "LanguageCodes"
            case modelSettings = "ModelSettings"
            case outputLocationType = "OutputLocationType"
            case startTime = "StartTime"
            case toxicityDetection = "ToxicityDetection"
            case transcriptionJobName = "TranscriptionJobName"
            case transcriptionJobStatus = "TranscriptionJobStatus"
        }
    }

    public struct UntagResourceRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of the Amazon Transcribe resource you want to remove tags from. ARNs have the format arn:partition:service:region:account-id:resource-type/resource-id. For example, arn:aws:transcribe:us-west-2:111122223333:transcription-job/transcription-job-name. Valid values for resource-type are: transcription-job, medical-transcription-job, vocabulary, medical-vocabulary, vocabulary-filter, and language-model.
        public let resourceArn: String
        /// Removes the specified tag keys from the specified Amazon Transcribe resource.
        public let tagKeys: [String]

        @inlinable
        public init(resourceArn: String, tagKeys: [String]) {
            self.resourceArn = resourceArn
            self.tagKeys = tagKeys
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            _ = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.resourceArn, key: "ResourceArn")
            request.encodeQuery(self.tagKeys, key: "tagKeys")
        }

        public func validate(name: String) throws {
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, max: 1011)
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, min: 1)
            try self.validate(self.resourceArn, name: "resourceArn", parent: name, pattern: "^arn:aws(-[^:]+)?:transcribe:[a-zA-Z0-9-]*:[0-9]{12}:[a-zA-Z-]*/[0-9a-zA-Z._-]+$")
            try self.tagKeys.forEach {
                try validate($0, name: "tagKeys[]", parent: name, max: 128)
                try validate($0, name: "tagKeys[]", parent: name, min: 1)
            }
            try self.validate(self.tagKeys, name: "tagKeys", parent: name, max: 200)
            try self.validate(self.tagKeys, name: "tagKeys", parent: name, min: 1)
        }

        private enum CodingKeys: CodingKey {}
    }

    public struct UntagResourceResponse: AWSDecodableShape {
        public init() {}
    }

    public struct UpdateCallAnalyticsCategoryRequest: AWSEncodableShape {
        /// The name of the Call Analytics category you want to update. Category names are case sensitive.
        public let categoryName: String
        /// Choose whether you want to update a real-time or a post-call category. The  input type you specify must match the input type specified when the category was created. For example, if you created a category with the POST_CALL input type, you must use POST_CALL as the input type when updating this category.
        public let inputType: InputType?
        /// The rules used for the updated Call Analytics category. The rules you provide in this field replace the ones that are currently being used in the specified category.
        public let rules: [Rule]

        @inlinable
        public init(categoryName: String, inputType: InputType? = nil, rules: [Rule]) {
            self.categoryName = categoryName
            self.inputType = inputType
            self.rules = rules
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            request.encodePath(self.categoryName, key: "CategoryName")
            try container.encodeIfPresent(self.inputType, forKey: .inputType)
            try container.encode(self.rules, forKey: .rules)
        }

        public func validate(name: String) throws {
            try self.validate(self.categoryName, name: "categoryName", parent: name, max: 200)
            try self.validate(self.categoryName, name: "categoryName", parent: name, min: 1)
            try self.validate(self.categoryName, name: "categoryName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.rules.forEach {
                try $0.validate(name: "\(name).rules[]")
            }
            try self.validate(self.rules, name: "rules", parent: name, max: 20)
            try self.validate(self.rules, name: "rules", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case inputType = "InputType"
            case rules = "Rules"
        }
    }

    public struct UpdateCallAnalyticsCategoryResponse: AWSDecodableShape {
        /// Provides you with the properties of the Call Analytics category you specified in your UpdateCallAnalyticsCategory request.
        public let categoryProperties: CategoryProperties?

        @inlinable
        public init(categoryProperties: CategoryProperties? = nil) {
            self.categoryProperties = categoryProperties
        }

        private enum CodingKeys: String, CodingKey {
            case categoryProperties = "CategoryProperties"
        }
    }

    public struct UpdateMedicalVocabularyRequest: AWSEncodableShape {
        /// The language code that represents the language of the entries in the custom vocabulary you want to update. US English (en-US) is the only language supported with Amazon Transcribe Medical.
        public let languageCode: LanguageCode
        /// The Amazon S3 location of the text file that contains your custom medical vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt
        public let vocabularyFileUri: String
        /// The name of the custom medical vocabulary you want to update. Custom medical vocabulary names are case sensitive.
        public let vocabularyName: String

        @inlinable
        public init(languageCode: LanguageCode, vocabularyFileUri: String, vocabularyName: String) {
            self.languageCode = languageCode
            self.vocabularyFileUri = vocabularyFileUri
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encode(self.languageCode, forKey: .languageCode)
            try container.encode(self.vocabularyFileUri, forKey: .vocabularyFileUri)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, max: 2000)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, min: 1)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case vocabularyFileUri = "VocabularyFileUri"
        }
    }

    public struct UpdateMedicalVocabularyResponse: AWSDecodableShape {
        /// The language code you selected for your custom medical vocabulary. US English (en-US) is the only language supported with Amazon Transcribe Medical.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom medical vocabulary was last updated. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name of the updated custom medical vocabulary.
        public let vocabularyName: String?
        /// The processing state of your custom medical vocabulary. If the state is READY, you can use the custom vocabulary in a StartMedicalTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }

    public struct UpdateVocabularyFilterRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary filter). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String?
        /// The Amazon S3 location of the text file that contains your custom vocabulary filter terms. The URI must be located in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-filter-file.txt  Note that if you include VocabularyFilterFileUri in your request, you cannot use Words; you must choose one or the other.
        public let vocabularyFilterFileUri: String?
        /// The name of the custom vocabulary filter you want to update. Custom vocabulary filter names are case sensitive.
        public let vocabularyFilterName: String
        /// Use this parameter if you want to update your custom vocabulary filter by including all desired terms, as comma-separated values, within your request. The other option for updating your vocabulary filter is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFilterFileUri parameter. Note that if you include Words in your request, you cannot use VocabularyFilterFileUri; you must choose one or the other. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
        public let words: [String]?

        @inlinable
        public init(dataAccessRoleArn: String? = nil, vocabularyFilterFileUri: String? = nil, vocabularyFilterName: String, words: [String]? = nil) {
            self.dataAccessRoleArn = dataAccessRoleArn
            self.vocabularyFilterFileUri = vocabularyFilterFileUri
            self.vocabularyFilterName = vocabularyFilterName
            self.words = words
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.dataAccessRoleArn, forKey: .dataAccessRoleArn)
            try container.encodeIfPresent(self.vocabularyFilterFileUri, forKey: .vocabularyFilterFileUri)
            request.encodePath(self.vocabularyFilterName, key: "VocabularyFilterName")
            try container.encodeIfPresent(self.words, forKey: .words)
        }

        public func validate(name: String) throws {
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.validate(self.vocabularyFilterFileUri, name: "vocabularyFilterFileUri", parent: name, max: 2000)
            try self.validate(self.vocabularyFilterFileUri, name: "vocabularyFilterFileUri", parent: name, min: 1)
            try self.validate(self.vocabularyFilterFileUri, name: "vocabularyFilterFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, max: 200)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, min: 1)
            try self.validate(self.vocabularyFilterName, name: "vocabularyFilterName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
            try self.words?.forEach {
                try validate($0, name: "words[]", parent: name, max: 256)
                try validate($0, name: "words[]", parent: name, min: 1)
            }
            try self.validate(self.words, name: "words", parent: name, min: 1)
        }

        private enum CodingKeys: String, CodingKey {
            case dataAccessRoleArn = "DataAccessRoleArn"
            case vocabularyFilterFileUri = "VocabularyFilterFileUri"
            case words = "Words"
        }
    }

    public struct UpdateVocabularyFilterResponse: AWSDecodableShape {
        /// The language code you selected for your custom vocabulary filter.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom vocabulary filter was last updated. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name of the updated custom vocabulary filter.
        public let vocabularyFilterName: String?

        @inlinable
        public init(languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyFilterName: String? = nil) {
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyFilterName = vocabularyFilterName
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyFilterName = "VocabularyFilterName"
        }
    }

    public struct UpdateVocabularyRequest: AWSEncodableShape {
        /// The Amazon Resource Name (ARN) of an IAM role that has permissions to access the Amazon S3 bucket that contains your input files (in this case, your custom vocabulary). If the role that you specify doesn’t have the appropriate permissions to access the specified Amazon S3 location, your request fails. IAM role ARNs have the format arn:partition:iam::account:role/role-name-with-path. For example: arn:aws:iam::111122223333:role/Admin. For more information, see IAM ARNs.
        public let dataAccessRoleArn: String?
        /// The language code that represents the language of the entries in the custom vocabulary you want to update. Each custom vocabulary must contain terms in only one language. A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (en-US), you can only apply this custom vocabulary to files that contain English audio. For a list of supported languages and their associated language codes, refer to the Supported languages table.
        public let languageCode: LanguageCode
        /// Use this parameter if you want to update your custom vocabulary by including all desired terms, as comma-separated values, within your request. The other option for updating your custom vocabulary is to save your entries in a text file and upload them to an Amazon S3 bucket, then specify the location of your file using the VocabularyFileUri parameter. Note that if you include Phrases in your request, you cannot use VocabularyFileUri; you must choose one or the other. Each language has a character set that contains all allowed characters for that specific language. If you use unsupported characters, your custom vocabulary filter request fails. Refer to Character Sets for Custom Vocabularies to get the character set for your language.
        public let phrases: [String]?
        /// The Amazon S3 location of the text file that contains your custom vocabulary. The URI must be located in the same Amazon Web Services Region as the resource you're calling. Here's an example URI path: s3://DOC-EXAMPLE-BUCKET/my-vocab-file.txt  Note that if you include VocabularyFileUri in your request, you cannot use the Phrases flag; you must choose one or the other.
        public let vocabularyFileUri: String?
        /// The name of the custom vocabulary you want to update. Custom vocabulary names are case sensitive.
        public let vocabularyName: String

        @inlinable
        public init(dataAccessRoleArn: String? = nil, languageCode: LanguageCode, phrases: [String]? = nil, vocabularyFileUri: String? = nil, vocabularyName: String) {
            self.dataAccessRoleArn = dataAccessRoleArn
            self.languageCode = languageCode
            self.phrases = phrases
            self.vocabularyFileUri = vocabularyFileUri
            self.vocabularyName = vocabularyName
        }

        public func encode(to encoder: Encoder) throws {
            let request = encoder.userInfo[.awsRequest]! as! RequestEncodingContainer
            var container = encoder.container(keyedBy: CodingKeys.self)
            try container.encodeIfPresent(self.dataAccessRoleArn, forKey: .dataAccessRoleArn)
            try container.encode(self.languageCode, forKey: .languageCode)
            try container.encodeIfPresent(self.phrases, forKey: .phrases)
            try container.encodeIfPresent(self.vocabularyFileUri, forKey: .vocabularyFileUri)
            request.encodePath(self.vocabularyName, key: "VocabularyName")
        }

        public func validate(name: String) throws {
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, max: 2048)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, min: 20)
            try self.validate(self.dataAccessRoleArn, name: "dataAccessRoleArn", parent: name, pattern: "^arn:(aws|aws-cn|aws-us-gov|aws-iso-{0,1}[a-z]{0,1}):iam::[0-9]{0,63}:role/[A-Za-z0-9:_/+=,@.-]{0,1024}$")
            try self.phrases?.forEach {
                try validate($0, name: "phrases[]", parent: name, max: 256)
                try validate($0, name: "phrases[]", parent: name, pattern: "^.+$")
            }
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, max: 2000)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, min: 1)
            try self.validate(self.vocabularyFileUri, name: "vocabularyFileUri", parent: name, pattern: "^(s3://|http(s*)://).+$")
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, max: 200)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, min: 1)
            try self.validate(self.vocabularyName, name: "vocabularyName", parent: name, pattern: "^[0-9a-zA-Z._-]+$")
        }

        private enum CodingKeys: String, CodingKey {
            case dataAccessRoleArn = "DataAccessRoleArn"
            case languageCode = "LanguageCode"
            case phrases = "Phrases"
            case vocabularyFileUri = "VocabularyFileUri"
        }
    }

    public struct UpdateVocabularyResponse: AWSDecodableShape {
        /// The language code you selected for your custom vocabulary.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom vocabulary was last updated. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// The name of the updated custom vocabulary.
        public let vocabularyName: String?
        /// The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }

    public struct VocabularyFilterInfo: AWSDecodableShape {
        /// The language code that represents the language of the entries in your vocabulary filter. Each custom vocabulary filter must contain terms in only one language. A custom vocabulary filter can only be used to transcribe files in the same language as the filter. For example, if you create a custom vocabulary filter using US English (en-US), you can only apply this filter to files that contain English audio. For a list of supported languages and their associated language codes, refer to the Supported languages table.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom vocabulary filter was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// A unique name, chosen by you, for your custom vocabulary filter. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
        public let vocabularyFilterName: String?

        @inlinable
        public init(languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyFilterName: String? = nil) {
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyFilterName = vocabularyFilterName
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyFilterName = "VocabularyFilterName"
        }
    }

    public struct VocabularyInfo: AWSDecodableShape {
        /// The language code used to create your custom vocabulary. Each custom vocabulary must contain terms in only one language. A custom vocabulary can only be used to transcribe files in the same language as the custom vocabulary. For example, if you create a custom vocabulary using US English (en-US), you can only apply this custom vocabulary to files that contain English audio.
        public let languageCode: LanguageCode?
        /// The date and time the specified custom vocabulary was last modified. Timestamps are in the format YYYY-MM-DD'T'HH:MM:SS.SSSSSS-UTC. For example, 2022-05-04T12:32:58.761000-07:00 represents 12:32 PM UTC-7 on May 4, 2022.
        public let lastModifiedTime: Date?
        /// A unique name, chosen by you, for your custom vocabulary. This name is case sensitive, cannot contain spaces, and must be unique within an Amazon Web Services account.
        public let vocabularyName: String?
        /// The processing state of your custom vocabulary. If the state is READY, you can use the custom vocabulary in a StartTranscriptionJob request.
        public let vocabularyState: VocabularyState?

        @inlinable
        public init(languageCode: LanguageCode? = nil, lastModifiedTime: Date? = nil, vocabularyName: String? = nil, vocabularyState: VocabularyState? = nil) {
            self.languageCode = languageCode
            self.lastModifiedTime = lastModifiedTime
            self.vocabularyName = vocabularyName
            self.vocabularyState = vocabularyState
        }

        private enum CodingKeys: String, CodingKey {
            case languageCode = "LanguageCode"
            case lastModifiedTime = "LastModifiedTime"
            case vocabularyName = "VocabularyName"
            case vocabularyState = "VocabularyState"
        }
    }
}

// MARK: - Errors

/// Error enum for Transcribe
public struct TranscribeErrorType: AWSErrorType {
    enum Code: String {
        case badRequestException = "BadRequestException"
        case conflictException = "ConflictException"
        case internalFailureException = "InternalFailureException"
        case limitExceededException = "LimitExceededException"
        case notFoundException = "NotFoundException"
    }

    private let error: Code
    public let context: AWSErrorContext?

    /// initialize Transcribe
    public init?(errorCode: String, context: AWSErrorContext) {
        guard let error = Code(rawValue: errorCode) else { return nil }
        self.error = error
        self.context = context
    }

    internal init(_ error: Code) {
        self.error = error
        self.context = nil
    }

    /// return error code string
    public var errorCode: String { self.error.rawValue }

    /// Your request didn't pass one or more validation tests. This can occur when the entity you're trying to delete doesn't exist or if it's in a non-terminal state (such as IN PROGRESS). See the exception message field for more information.
    public static var badRequestException: Self { .init(.badRequestException) }
    /// A resource already exists with this name. Resource names must be unique within an Amazon Web Services account.
    public static var conflictException: Self { .init(.conflictException) }
    /// There was an internal error. Check the error message, correct the issue, and try your request again.
    public static var internalFailureException: Self { .init(.internalFailureException) }
    /// You've either sent too many requests or your input file is too long. Wait before retrying your request, or use a smaller file and try your request again.
    public static var limitExceededException: Self { .init(.limitExceededException) }
    /// We can't find the requested resource. Check that the specified name is correct and try your request again.
    public static var notFoundException: Self { .init(.notFoundException) }
}

extension TranscribeErrorType: Equatable {
    public static func == (lhs: TranscribeErrorType, rhs: TranscribeErrorType) -> Bool {
        lhs.error == rhs.error
    }
}

extension TranscribeErrorType: CustomStringConvertible {
    public var description: String {
        return "\(self.error.rawValue): \(self.message ?? "")"
    }
}
